|
Inhibition of human GST-tagged VEGFR1 by HTRF assay
|
Homo sapiens
|
10.0
nM
|
|
Journal : J. Med. Chem.
Title : Discovery of 5-[[4-[(2,3-dimethyl-2H-indazol-6-yl)methylamino]-2-pyrimidinyl]amino]-2-methyl-benzenesulfonamide (Pazopanib), a novel and potent vascular endothelial growth factor receptor inhibitor.
Year : 2008
Volume : 51
Issue : 15
First Page : 4632
Last Page : 4640
Authors : Harris PA, Boloor A, Cheung M, Kumar R, Crosby RM, Davis-Ward RG, Epperly AH, Hinkle KW, Hunter RN, Johnson JH, Knick VB, Laudeman CP, Luttrell DK, Mook RA, Nolte RT, Rudolph SK, Szewczyk JR, Truesdale AT, Veal JM, Wang L, Stafford JA.
Abstract : Inhibition of the vascular endothelial growth factor (VEGF) signaling pathway has emerged as one of the most promising new approaches for cancer therapy. We describe herein the key steps starting from an initial screening hit leading to the discovery of pazopanib, N(4)-(2,3-dimethyl-2H-indazol-6-yl)-N(4)-methyl-N(2)-(4-methyl-3-sulfonamidophenyl)-2,4-pyrimidinediamine, a potent pan-VEGF receptor (VEGFR) inhibitor under clinical development for renal-cell cancer and other solid tumors.
|
Inhibition of human recombinant VEGFR2
|
Homo sapiens
|
30.0
nM
|
|
Journal : J. Med. Chem.
Title : Discovery of 5-[[4-[(2,3-dimethyl-2H-indazol-6-yl)methylamino]-2-pyrimidinyl]amino]-2-methyl-benzenesulfonamide (Pazopanib), a novel and potent vascular endothelial growth factor receptor inhibitor.
Year : 2008
Volume : 51
Issue : 15
First Page : 4632
Last Page : 4640
Authors : Harris PA, Boloor A, Cheung M, Kumar R, Crosby RM, Davis-Ward RG, Epperly AH, Hinkle KW, Hunter RN, Johnson JH, Knick VB, Laudeman CP, Luttrell DK, Mook RA, Nolte RT, Rudolph SK, Szewczyk JR, Truesdale AT, Veal JM, Wang L, Stafford JA.
Abstract : Inhibition of the vascular endothelial growth factor (VEGF) signaling pathway has emerged as one of the most promising new approaches for cancer therapy. We describe herein the key steps starting from an initial screening hit leading to the discovery of pazopanib, N(4)-(2,3-dimethyl-2H-indazol-6-yl)-N(4)-methyl-N(2)-(4-methyl-3-sulfonamidophenyl)-2,4-pyrimidinediamine, a potent pan-VEGF receptor (VEGFR) inhibitor under clinical development for renal-cell cancer and other solid tumors.
|
Inhibition of human GST-tagged VEGFR3 by HTRF assay
|
Homo sapiens
|
47.0
nM
|
|
Journal : J. Med. Chem.
Title : Discovery of 5-[[4-[(2,3-dimethyl-2H-indazol-6-yl)methylamino]-2-pyrimidinyl]amino]-2-methyl-benzenesulfonamide (Pazopanib), a novel and potent vascular endothelial growth factor receptor inhibitor.
Year : 2008
Volume : 51
Issue : 15
First Page : 4632
Last Page : 4640
Authors : Harris PA, Boloor A, Cheung M, Kumar R, Crosby RM, Davis-Ward RG, Epperly AH, Hinkle KW, Hunter RN, Johnson JH, Knick VB, Laudeman CP, Luttrell DK, Mook RA, Nolte RT, Rudolph SK, Szewczyk JR, Truesdale AT, Veal JM, Wang L, Stafford JA.
Abstract : Inhibition of the vascular endothelial growth factor (VEGF) signaling pathway has emerged as one of the most promising new approaches for cancer therapy. We describe herein the key steps starting from an initial screening hit leading to the discovery of pazopanib, N(4)-(2,3-dimethyl-2H-indazol-6-yl)-N(4)-methyl-N(2)-(4-methyl-3-sulfonamidophenyl)-2,4-pyrimidinediamine, a potent pan-VEGF receptor (VEGFR) inhibitor under clinical development for renal-cell cancer and other solid tumors.
|
Inhibition of human PDGFRbeta
|
Homo sapiens
|
84.0
nM
|
|
Journal : J. Med. Chem.
Title : Discovery of 5-[[4-[(2,3-dimethyl-2H-indazol-6-yl)methylamino]-2-pyrimidinyl]amino]-2-methyl-benzenesulfonamide (Pazopanib), a novel and potent vascular endothelial growth factor receptor inhibitor.
Year : 2008
Volume : 51
Issue : 15
First Page : 4632
Last Page : 4640
Authors : Harris PA, Boloor A, Cheung M, Kumar R, Crosby RM, Davis-Ward RG, Epperly AH, Hinkle KW, Hunter RN, Johnson JH, Knick VB, Laudeman CP, Luttrell DK, Mook RA, Nolte RT, Rudolph SK, Szewczyk JR, Truesdale AT, Veal JM, Wang L, Stafford JA.
Abstract : Inhibition of the vascular endothelial growth factor (VEGF) signaling pathway has emerged as one of the most promising new approaches for cancer therapy. We describe herein the key steps starting from an initial screening hit leading to the discovery of pazopanib, N(4)-(2,3-dimethyl-2H-indazol-6-yl)-N(4)-methyl-N(2)-(4-methyl-3-sulfonamidophenyl)-2,4-pyrimidinediamine, a potent pan-VEGF receptor (VEGFR) inhibitor under clinical development for renal-cell cancer and other solid tumors.
|
Inhibition of human c-Kit
|
Homo sapiens
|
74.0
nM
|
|
Journal : J. Med. Chem.
Title : Discovery of 5-[[4-[(2,3-dimethyl-2H-indazol-6-yl)methylamino]-2-pyrimidinyl]amino]-2-methyl-benzenesulfonamide (Pazopanib), a novel and potent vascular endothelial growth factor receptor inhibitor.
Year : 2008
Volume : 51
Issue : 15
First Page : 4632
Last Page : 4640
Authors : Harris PA, Boloor A, Cheung M, Kumar R, Crosby RM, Davis-Ward RG, Epperly AH, Hinkle KW, Hunter RN, Johnson JH, Knick VB, Laudeman CP, Luttrell DK, Mook RA, Nolte RT, Rudolph SK, Szewczyk JR, Truesdale AT, Veal JM, Wang L, Stafford JA.
Abstract : Inhibition of the vascular endothelial growth factor (VEGF) signaling pathway has emerged as one of the most promising new approaches for cancer therapy. We describe herein the key steps starting from an initial screening hit leading to the discovery of pazopanib, N(4)-(2,3-dimethyl-2H-indazol-6-yl)-N(4)-methyl-N(2)-(4-methyl-3-sulfonamidophenyl)-2,4-pyrimidinediamine, a potent pan-VEGF receptor (VEGFR) inhibitor under clinical development for renal-cell cancer and other solid tumors.
|
Inhibition of human FGFR1
|
Homo sapiens
|
140.0
nM
|
|
Journal : J. Med. Chem.
Title : Discovery of 5-[[4-[(2,3-dimethyl-2H-indazol-6-yl)methylamino]-2-pyrimidinyl]amino]-2-methyl-benzenesulfonamide (Pazopanib), a novel and potent vascular endothelial growth factor receptor inhibitor.
Year : 2008
Volume : 51
Issue : 15
First Page : 4632
Last Page : 4640
Authors : Harris PA, Boloor A, Cheung M, Kumar R, Crosby RM, Davis-Ward RG, Epperly AH, Hinkle KW, Hunter RN, Johnson JH, Knick VB, Laudeman CP, Luttrell DK, Mook RA, Nolte RT, Rudolph SK, Szewczyk JR, Truesdale AT, Veal JM, Wang L, Stafford JA.
Abstract : Inhibition of the vascular endothelial growth factor (VEGF) signaling pathway has emerged as one of the most promising new approaches for cancer therapy. We describe herein the key steps starting from an initial screening hit leading to the discovery of pazopanib, N(4)-(2,3-dimethyl-2H-indazol-6-yl)-N(4)-methyl-N(2)-(4-methyl-3-sulfonamidophenyl)-2,4-pyrimidinediamine, a potent pan-VEGF receptor (VEGFR) inhibitor under clinical development for renal-cell cancer and other solid tumors.
|
Inhibition of human c-fms
|
Homo sapiens
|
146.0
nM
|
|
Journal : J. Med. Chem.
Title : Discovery of 5-[[4-[(2,3-dimethyl-2H-indazol-6-yl)methylamino]-2-pyrimidinyl]amino]-2-methyl-benzenesulfonamide (Pazopanib), a novel and potent vascular endothelial growth factor receptor inhibitor.
Year : 2008
Volume : 51
Issue : 15
First Page : 4632
Last Page : 4640
Authors : Harris PA, Boloor A, Cheung M, Kumar R, Crosby RM, Davis-Ward RG, Epperly AH, Hinkle KW, Hunter RN, Johnson JH, Knick VB, Laudeman CP, Luttrell DK, Mook RA, Nolte RT, Rudolph SK, Szewczyk JR, Truesdale AT, Veal JM, Wang L, Stafford JA.
Abstract : Inhibition of the vascular endothelial growth factor (VEGF) signaling pathway has emerged as one of the most promising new approaches for cancer therapy. We describe herein the key steps starting from an initial screening hit leading to the discovery of pazopanib, N(4)-(2,3-dimethyl-2H-indazol-6-yl)-N(4)-methyl-N(2)-(4-methyl-3-sulfonamidophenyl)-2,4-pyrimidinediamine, a potent pan-VEGF receptor (VEGFR) inhibitor under clinical development for renal-cell cancer and other solid tumors.
|
Inhibition of VEGF-induced VEGFR2 phosphorylation in HUVEC
|
Homo sapiens
|
8.0
nM
|
|
Journal : J. Med. Chem.
Title : Discovery of 5-[[4-[(2,3-dimethyl-2H-indazol-6-yl)methylamino]-2-pyrimidinyl]amino]-2-methyl-benzenesulfonamide (Pazopanib), a novel and potent vascular endothelial growth factor receptor inhibitor.
Year : 2008
Volume : 51
Issue : 15
First Page : 4632
Last Page : 4640
Authors : Harris PA, Boloor A, Cheung M, Kumar R, Crosby RM, Davis-Ward RG, Epperly AH, Hinkle KW, Hunter RN, Johnson JH, Knick VB, Laudeman CP, Luttrell DK, Mook RA, Nolte RT, Rudolph SK, Szewczyk JR, Truesdale AT, Veal JM, Wang L, Stafford JA.
Abstract : Inhibition of the vascular endothelial growth factor (VEGF) signaling pathway has emerged as one of the most promising new approaches for cancer therapy. We describe herein the key steps starting from an initial screening hit leading to the discovery of pazopanib, N(4)-(2,3-dimethyl-2H-indazol-6-yl)-N(4)-methyl-N(2)-(4-methyl-3-sulfonamidophenyl)-2,4-pyrimidinediamine, a potent pan-VEGF receptor (VEGFR) inhibitor under clinical development for renal-cell cancer and other solid tumors.
|
Inhibition of angiogenesis in Swiss Nu/Nu mouse assessed as hemoglobin content at 10 mg/kg, po by bFGF/matrigel plug assay
|
Mus musculus
|
0.0
%
|
|
Journal : J. Med. Chem.
Title : Discovery of 5-[[4-[(2,3-dimethyl-2H-indazol-6-yl)methylamino]-2-pyrimidinyl]amino]-2-methyl-benzenesulfonamide (Pazopanib), a novel and potent vascular endothelial growth factor receptor inhibitor.
Year : 2008
Volume : 51
Issue : 15
First Page : 4632
Last Page : 4640
Authors : Harris PA, Boloor A, Cheung M, Kumar R, Crosby RM, Davis-Ward RG, Epperly AH, Hinkle KW, Hunter RN, Johnson JH, Knick VB, Laudeman CP, Luttrell DK, Mook RA, Nolte RT, Rudolph SK, Szewczyk JR, Truesdale AT, Veal JM, Wang L, Stafford JA.
Abstract : Inhibition of the vascular endothelial growth factor (VEGF) signaling pathway has emerged as one of the most promising new approaches for cancer therapy. We describe herein the key steps starting from an initial screening hit leading to the discovery of pazopanib, N(4)-(2,3-dimethyl-2H-indazol-6-yl)-N(4)-methyl-N(2)-(4-methyl-3-sulfonamidophenyl)-2,4-pyrimidinediamine, a potent pan-VEGF receptor (VEGFR) inhibitor under clinical development for renal-cell cancer and other solid tumors.
|
Inhibition of angiogenesis in Swiss Nu/Nu mouse assessed as hemoglobin content at 30 mg/kg, po by bFGF/matrigel plug assay
|
Mus musculus
|
57.0
%
|
|
Journal : J. Med. Chem.
Title : Discovery of 5-[[4-[(2,3-dimethyl-2H-indazol-6-yl)methylamino]-2-pyrimidinyl]amino]-2-methyl-benzenesulfonamide (Pazopanib), a novel and potent vascular endothelial growth factor receptor inhibitor.
Year : 2008
Volume : 51
Issue : 15
First Page : 4632
Last Page : 4640
Authors : Harris PA, Boloor A, Cheung M, Kumar R, Crosby RM, Davis-Ward RG, Epperly AH, Hinkle KW, Hunter RN, Johnson JH, Knick VB, Laudeman CP, Luttrell DK, Mook RA, Nolte RT, Rudolph SK, Szewczyk JR, Truesdale AT, Veal JM, Wang L, Stafford JA.
Abstract : Inhibition of the vascular endothelial growth factor (VEGF) signaling pathway has emerged as one of the most promising new approaches for cancer therapy. We describe herein the key steps starting from an initial screening hit leading to the discovery of pazopanib, N(4)-(2,3-dimethyl-2H-indazol-6-yl)-N(4)-methyl-N(2)-(4-methyl-3-sulfonamidophenyl)-2,4-pyrimidinediamine, a potent pan-VEGF receptor (VEGFR) inhibitor under clinical development for renal-cell cancer and other solid tumors.
|
Inhibition of angiogenesis in Swiss Nu/Nu mouse assessed as hemoglobin content at 100 mg/kg, po by bFGF/matrigel plug assay
|
Mus musculus
|
83.0
%
|
|
Journal : J. Med. Chem.
Title : Discovery of 5-[[4-[(2,3-dimethyl-2H-indazol-6-yl)methylamino]-2-pyrimidinyl]amino]-2-methyl-benzenesulfonamide (Pazopanib), a novel and potent vascular endothelial growth factor receptor inhibitor.
Year : 2008
Volume : 51
Issue : 15
First Page : 4632
Last Page : 4640
Authors : Harris PA, Boloor A, Cheung M, Kumar R, Crosby RM, Davis-Ward RG, Epperly AH, Hinkle KW, Hunter RN, Johnson JH, Knick VB, Laudeman CP, Luttrell DK, Mook RA, Nolte RT, Rudolph SK, Szewczyk JR, Truesdale AT, Veal JM, Wang L, Stafford JA.
Abstract : Inhibition of the vascular endothelial growth factor (VEGF) signaling pathway has emerged as one of the most promising new approaches for cancer therapy. We describe herein the key steps starting from an initial screening hit leading to the discovery of pazopanib, N(4)-(2,3-dimethyl-2H-indazol-6-yl)-N(4)-methyl-N(2)-(4-methyl-3-sulfonamidophenyl)-2,4-pyrimidinediamine, a potent pan-VEGF receptor (VEGFR) inhibitor under clinical development for renal-cell cancer and other solid tumors.
|
Antitumor activity against human HT29 cells xenografted in mouse assessed as inhibition of tumor growth at 10 mg/kg, po relative to control
|
Homo sapiens
|
32.0
%
|
|
Journal : J. Med. Chem.
Title : Discovery of 5-[[4-[(2,3-dimethyl-2H-indazol-6-yl)methylamino]-2-pyrimidinyl]amino]-2-methyl-benzenesulfonamide (Pazopanib), a novel and potent vascular endothelial growth factor receptor inhibitor.
Year : 2008
Volume : 51
Issue : 15
First Page : 4632
Last Page : 4640
Authors : Harris PA, Boloor A, Cheung M, Kumar R, Crosby RM, Davis-Ward RG, Epperly AH, Hinkle KW, Hunter RN, Johnson JH, Knick VB, Laudeman CP, Luttrell DK, Mook RA, Nolte RT, Rudolph SK, Szewczyk JR, Truesdale AT, Veal JM, Wang L, Stafford JA.
Abstract : Inhibition of the vascular endothelial growth factor (VEGF) signaling pathway has emerged as one of the most promising new approaches for cancer therapy. We describe herein the key steps starting from an initial screening hit leading to the discovery of pazopanib, N(4)-(2,3-dimethyl-2H-indazol-6-yl)-N(4)-methyl-N(2)-(4-methyl-3-sulfonamidophenyl)-2,4-pyrimidinediamine, a potent pan-VEGF receptor (VEGFR) inhibitor under clinical development for renal-cell cancer and other solid tumors.
|
Antitumor activity against human HT29 cells xenografted in mouse assessed as inhibition of tumor growth at 30 mg/kg, po relative to control
|
Homo sapiens
|
59.0
%
|
|
Journal : J. Med. Chem.
Title : Discovery of 5-[[4-[(2,3-dimethyl-2H-indazol-6-yl)methylamino]-2-pyrimidinyl]amino]-2-methyl-benzenesulfonamide (Pazopanib), a novel and potent vascular endothelial growth factor receptor inhibitor.
Year : 2008
Volume : 51
Issue : 15
First Page : 4632
Last Page : 4640
Authors : Harris PA, Boloor A, Cheung M, Kumar R, Crosby RM, Davis-Ward RG, Epperly AH, Hinkle KW, Hunter RN, Johnson JH, Knick VB, Laudeman CP, Luttrell DK, Mook RA, Nolte RT, Rudolph SK, Szewczyk JR, Truesdale AT, Veal JM, Wang L, Stafford JA.
Abstract : Inhibition of the vascular endothelial growth factor (VEGF) signaling pathway has emerged as one of the most promising new approaches for cancer therapy. We describe herein the key steps starting from an initial screening hit leading to the discovery of pazopanib, N(4)-(2,3-dimethyl-2H-indazol-6-yl)-N(4)-methyl-N(2)-(4-methyl-3-sulfonamidophenyl)-2,4-pyrimidinediamine, a potent pan-VEGF receptor (VEGFR) inhibitor under clinical development for renal-cell cancer and other solid tumors.
|
Antitumor activity against human HT29 cells xenografted in mouse assessed as inhibition of tumor growth at 100 mg/kg, po relative to control
|
Homo sapiens
|
69.0
%
|
|
Journal : J. Med. Chem.
Title : Discovery of 5-[[4-[(2,3-dimethyl-2H-indazol-6-yl)methylamino]-2-pyrimidinyl]amino]-2-methyl-benzenesulfonamide (Pazopanib), a novel and potent vascular endothelial growth factor receptor inhibitor.
Year : 2008
Volume : 51
Issue : 15
First Page : 4632
Last Page : 4640
Authors : Harris PA, Boloor A, Cheung M, Kumar R, Crosby RM, Davis-Ward RG, Epperly AH, Hinkle KW, Hunter RN, Johnson JH, Knick VB, Laudeman CP, Luttrell DK, Mook RA, Nolte RT, Rudolph SK, Szewczyk JR, Truesdale AT, Veal JM, Wang L, Stafford JA.
Abstract : Inhibition of the vascular endothelial growth factor (VEGF) signaling pathway has emerged as one of the most promising new approaches for cancer therapy. We describe herein the key steps starting from an initial screening hit leading to the discovery of pazopanib, N(4)-(2,3-dimethyl-2H-indazol-6-yl)-N(4)-methyl-N(2)-(4-methyl-3-sulfonamidophenyl)-2,4-pyrimidinediamine, a potent pan-VEGF receptor (VEGFR) inhibitor under clinical development for renal-cell cancer and other solid tumors.
|
Antitumor activity against human A375P cells xenografted in mouse assessed as inhibition of tumor growth at 10 mg/kg, po relative to control
|
Homo sapiens
|
16.0
%
|
|
Journal : J. Med. Chem.
Title : Discovery of 5-[[4-[(2,3-dimethyl-2H-indazol-6-yl)methylamino]-2-pyrimidinyl]amino]-2-methyl-benzenesulfonamide (Pazopanib), a novel and potent vascular endothelial growth factor receptor inhibitor.
Year : 2008
Volume : 51
Issue : 15
First Page : 4632
Last Page : 4640
Authors : Harris PA, Boloor A, Cheung M, Kumar R, Crosby RM, Davis-Ward RG, Epperly AH, Hinkle KW, Hunter RN, Johnson JH, Knick VB, Laudeman CP, Luttrell DK, Mook RA, Nolte RT, Rudolph SK, Szewczyk JR, Truesdale AT, Veal JM, Wang L, Stafford JA.
Abstract : Inhibition of the vascular endothelial growth factor (VEGF) signaling pathway has emerged as one of the most promising new approaches for cancer therapy. We describe herein the key steps starting from an initial screening hit leading to the discovery of pazopanib, N(4)-(2,3-dimethyl-2H-indazol-6-yl)-N(4)-methyl-N(2)-(4-methyl-3-sulfonamidophenyl)-2,4-pyrimidinediamine, a potent pan-VEGF receptor (VEGFR) inhibitor under clinical development for renal-cell cancer and other solid tumors.
|
Antitumor activity against human A375P cells xenografted in mouse assessed as inhibition of tumor growth at 30 mg/kg, po relative to control
|
Homo sapiens
|
35.0
%
|
|
Journal : J. Med. Chem.
Title : Discovery of 5-[[4-[(2,3-dimethyl-2H-indazol-6-yl)methylamino]-2-pyrimidinyl]amino]-2-methyl-benzenesulfonamide (Pazopanib), a novel and potent vascular endothelial growth factor receptor inhibitor.
Year : 2008
Volume : 51
Issue : 15
First Page : 4632
Last Page : 4640
Authors : Harris PA, Boloor A, Cheung M, Kumar R, Crosby RM, Davis-Ward RG, Epperly AH, Hinkle KW, Hunter RN, Johnson JH, Knick VB, Laudeman CP, Luttrell DK, Mook RA, Nolte RT, Rudolph SK, Szewczyk JR, Truesdale AT, Veal JM, Wang L, Stafford JA.
Abstract : Inhibition of the vascular endothelial growth factor (VEGF) signaling pathway has emerged as one of the most promising new approaches for cancer therapy. We describe herein the key steps starting from an initial screening hit leading to the discovery of pazopanib, N(4)-(2,3-dimethyl-2H-indazol-6-yl)-N(4)-methyl-N(2)-(4-methyl-3-sulfonamidophenyl)-2,4-pyrimidinediamine, a potent pan-VEGF receptor (VEGFR) inhibitor under clinical development for renal-cell cancer and other solid tumors.
|
Antitumor activity against human A375P cells xenografted in mouse assessed as inhibition of tumor growth at 100 mg/kg, po relative to control
|
Homo sapiens
|
55.0
%
|
|
Journal : J. Med. Chem.
Title : Discovery of 5-[[4-[(2,3-dimethyl-2H-indazol-6-yl)methylamino]-2-pyrimidinyl]amino]-2-methyl-benzenesulfonamide (Pazopanib), a novel and potent vascular endothelial growth factor receptor inhibitor.
Year : 2008
Volume : 51
Issue : 15
First Page : 4632
Last Page : 4640
Authors : Harris PA, Boloor A, Cheung M, Kumar R, Crosby RM, Davis-Ward RG, Epperly AH, Hinkle KW, Hunter RN, Johnson JH, Knick VB, Laudeman CP, Luttrell DK, Mook RA, Nolte RT, Rudolph SK, Szewczyk JR, Truesdale AT, Veal JM, Wang L, Stafford JA.
Abstract : Inhibition of the vascular endothelial growth factor (VEGF) signaling pathway has emerged as one of the most promising new approaches for cancer therapy. We describe herein the key steps starting from an initial screening hit leading to the discovery of pazopanib, N(4)-(2,3-dimethyl-2H-indazol-6-yl)-N(4)-methyl-N(2)-(4-methyl-3-sulfonamidophenyl)-2,4-pyrimidinediamine, a potent pan-VEGF receptor (VEGFR) inhibitor under clinical development for renal-cell cancer and other solid tumors.
|
Antitumor activity against human HN5 cells xenografted in mouse assessed as inhibition of tumor growth at 10 mg/kg, po relative to control
|
Homo sapiens
|
99.0
%
|
|
Journal : J. Med. Chem.
Title : Discovery of 5-[[4-[(2,3-dimethyl-2H-indazol-6-yl)methylamino]-2-pyrimidinyl]amino]-2-methyl-benzenesulfonamide (Pazopanib), a novel and potent vascular endothelial growth factor receptor inhibitor.
Year : 2008
Volume : 51
Issue : 15
First Page : 4632
Last Page : 4640
Authors : Harris PA, Boloor A, Cheung M, Kumar R, Crosby RM, Davis-Ward RG, Epperly AH, Hinkle KW, Hunter RN, Johnson JH, Knick VB, Laudeman CP, Luttrell DK, Mook RA, Nolte RT, Rudolph SK, Szewczyk JR, Truesdale AT, Veal JM, Wang L, Stafford JA.
Abstract : Inhibition of the vascular endothelial growth factor (VEGF) signaling pathway has emerged as one of the most promising new approaches for cancer therapy. We describe herein the key steps starting from an initial screening hit leading to the discovery of pazopanib, N(4)-(2,3-dimethyl-2H-indazol-6-yl)-N(4)-methyl-N(2)-(4-methyl-3-sulfonamidophenyl)-2,4-pyrimidinediamine, a potent pan-VEGF receptor (VEGFR) inhibitor under clinical development for renal-cell cancer and other solid tumors.
|
Antitumor activity against human HN5 cells xenografted in mouse assessed as inhibition of tumor growth at 30 mg/kg, po relative to control
|
Homo sapiens
|
102.0
%
|
|
Journal : J. Med. Chem.
Title : Discovery of 5-[[4-[(2,3-dimethyl-2H-indazol-6-yl)methylamino]-2-pyrimidinyl]amino]-2-methyl-benzenesulfonamide (Pazopanib), a novel and potent vascular endothelial growth factor receptor inhibitor.
Year : 2008
Volume : 51
Issue : 15
First Page : 4632
Last Page : 4640
Authors : Harris PA, Boloor A, Cheung M, Kumar R, Crosby RM, Davis-Ward RG, Epperly AH, Hinkle KW, Hunter RN, Johnson JH, Knick VB, Laudeman CP, Luttrell DK, Mook RA, Nolte RT, Rudolph SK, Szewczyk JR, Truesdale AT, Veal JM, Wang L, Stafford JA.
Abstract : Inhibition of the vascular endothelial growth factor (VEGF) signaling pathway has emerged as one of the most promising new approaches for cancer therapy. We describe herein the key steps starting from an initial screening hit leading to the discovery of pazopanib, N(4)-(2,3-dimethyl-2H-indazol-6-yl)-N(4)-methyl-N(2)-(4-methyl-3-sulfonamidophenyl)-2,4-pyrimidinediamine, a potent pan-VEGF receptor (VEGFR) inhibitor under clinical development for renal-cell cancer and other solid tumors.
|
Antitumor activity against human HN5 cells xenografted in mouse assessed as inhibition of tumor growth at 100 mg/kg, po relative to control
|
Homo sapiens
|
110.0
%
|
|
Journal : J. Med. Chem.
Title : Discovery of 5-[[4-[(2,3-dimethyl-2H-indazol-6-yl)methylamino]-2-pyrimidinyl]amino]-2-methyl-benzenesulfonamide (Pazopanib), a novel and potent vascular endothelial growth factor receptor inhibitor.
Year : 2008
Volume : 51
Issue : 15
First Page : 4632
Last Page : 4640
Authors : Harris PA, Boloor A, Cheung M, Kumar R, Crosby RM, Davis-Ward RG, Epperly AH, Hinkle KW, Hunter RN, Johnson JH, Knick VB, Laudeman CP, Luttrell DK, Mook RA, Nolte RT, Rudolph SK, Szewczyk JR, Truesdale AT, Veal JM, Wang L, Stafford JA.
Abstract : Inhibition of the vascular endothelial growth factor (VEGF) signaling pathway has emerged as one of the most promising new approaches for cancer therapy. We describe herein the key steps starting from an initial screening hit leading to the discovery of pazopanib, N(4)-(2,3-dimethyl-2H-indazol-6-yl)-N(4)-methyl-N(2)-(4-methyl-3-sulfonamidophenyl)-2,4-pyrimidinediamine, a potent pan-VEGF receptor (VEGFR) inhibitor under clinical development for renal-cell cancer and other solid tumors.
|
Binding constant for DDR2 kinase domain
|
Homo sapiens
|
98.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for KIT(V559D) kinase domain
|
Homo sapiens
|
2.3
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for ROS1 kinase domain
|
Homo sapiens
|
920.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for TIE1 kinase domain
|
Homo sapiens
|
700.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for TTK kinase domain
|
Homo sapiens
|
150.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for CSF1R kinase domain
|
Homo sapiens
|
7.9
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for FGFR2 kinase domain
|
Homo sapiens
|
210.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for FGFR3 kinase domain
|
Homo sapiens
|
740.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for full-length LIMK2
|
Homo sapiens
|
390.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for MLK1 kinase domain
|
Homo sapiens
|
290.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for RET(M918T) kinase domain
|
Homo sapiens
|
270.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for VEGFR2 kinase domain
|
Homo sapiens
|
14.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for DDR1 kinase domain
|
Homo sapiens
|
57.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for FLT3(D835Y) kinase domain
|
Homo sapiens
|
810.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for KIT kinase domain
|
Homo sapiens
|
2.8
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for KIT(D816V) kinase domain
|
Homo sapiens
|
500.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for MLK3 kinase domain
|
Homo sapiens
|
740.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for FLT1 kinase domain
|
Homo sapiens
|
14.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for MAP4K1 kinase domain
|
Homo sapiens
|
750.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for RET kinase domain
|
Homo sapiens
|
310.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for FGFR1 kinase domain
|
Homo sapiens
|
990.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for FGFR3(G697C) kinase domain
|
Homo sapiens
|
620.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for IRAK3 kinase domain
|
Homo sapiens
|
800.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for RAF1 kinase domain
|
Homo sapiens
|
900.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for RIPK1 kinase domain
|
Homo sapiens
|
260.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for STK36 kinase domain
|
Homo sapiens
|
470.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for TNIK kinase domain
|
Homo sapiens
|
310.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for NEK2 kinase domain
|
Homo sapiens
|
980.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for KIT(V559D,T670I) kinase domain
|
Homo sapiens
|
6.5
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for LOK kinase domain
|
Homo sapiens
|
84.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for STK16 kinase domain
|
Homo sapiens
|
360.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for KIT(V559D,V654A) kinase domain
|
Homo sapiens
|
30.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for full-length LIMK1
|
Homo sapiens
|
720.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for LYN kinase domain
|
Homo sapiens
|
890.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for GAK kinase domain
|
Homo sapiens
|
200.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for MEK4 kinase domain
|
Homo sapiens
|
590.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for PDGFRA kinase domain
|
Homo sapiens
|
4.9
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for full-length TNK1
|
Homo sapiens
|
980.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for BRAF kinase domain
|
Homo sapiens
|
730.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for BRAF(V600E) kinase domain
|
Homo sapiens
|
430.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for PDGFRB kinase domain
|
Homo sapiens
|
2.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for RIPK2 kinase domain
|
Homo sapiens
|
580.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for full-length AURKC
|
Homo sapiens
|
750.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for FLT4 kinase domain
|
Homo sapiens
|
27.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for FRK kinase domain
|
Homo sapiens
|
750.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Binding constant for PLK4 kinase domain
|
Homo sapiens
|
290.0
nM
|
|
Journal : Nat. Biotechnol.
Title : A quantitative analysis of kinase inhibitor selectivity.
Year : 2008
Volume : 26
Issue : 1
First Page : 127
Last Page : 132
Authors : Karaman MW, Herrgard S, Treiber DK, Gallant P, Atteridge CE, Campbell BT, Chan KW, Ciceri P, Davis MI, Edeen PT, Faraoni R, Floyd M, Hunt JP, Lockhart DJ, Milanov ZV, Morrison MJ, Pallares G, Patel HK, Pritchard S, Wodicka LM, Zarrinkar PP.
Abstract : Kinase inhibitors are a new class of therapeutics with a propensity to inhibit multiple targets. The biological consequences of multi-kinase activity are poorly defined, and an important step toward understanding the relationship between selectivity, efficacy and safety is the exploration of how inhibitors interact with the human kinome. We present interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome. The data constitute the most comprehensive study of kinase inhibitor selectivity to date and reveal a wide diversity of interaction patterns. To enable a global analysis of the results, we introduce the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns. We further investigate the impact of panel size and find that small assay panels do not provide a robust measure of selectivity.
|
Inhibition of recombinant VEGFR2 after 1 hr by fluorescence polarization assay
|
None
|
30.0
nM
|
|
Journal : Eur. J. Med. Chem.
Title : Pharmacophore modeling and virtual screening studies for new VEGFR-2 kinase inhibitors.
Year : 2010
Volume : 45
Issue : 11
First Page : 5420
Last Page : 5427
Authors : Lee K, Jeong KW, Lee Y, Song JY, Kim MS, Lee GS, Kim Y.
Abstract : Virtual screening was performed to determine potent vascular endothelial growth factor receptor (VEGFR)-2 kinase inhibitors. A database of approximately 820,000 commercial compounds was used for screening, and 100 compounds were chosen as candidate VEGFR-2 inhibitors through pharmacophore modeling and docking studies. These 100 compounds were purchased to test their biological activities: 10 compounds were found to inhibit the enzyme, with IC(50) values ranging from 10 to 1 μM. Compound 1, which has a triazinoindole ring, inhibited the enzymatic activity of VEGFR-2, with an IC(50) value of about 1.6 μM, making it the most potent inhibitor of this enzyme. The triazinoindole derivative may therefore serve as the starting point in the design of new VEGFR-2 kinase inhibitors.
|
Binding affinity to human KIT incubated for 1 hr by kinase binding assay
|
Homo sapiens
|
2.8
nM
|
|
Journal : Eur. J. Med. Chem.
Title : Discovery, synthesis, and investigation of the antitumor activity of novel piperazinylpyrimidine derivatives.
Year : 2011
Volume : 46
Issue : 6
First Page : 2043
Last Page : 2057
Authors : Shallal HM, Russu WA.
Abstract : Protein kinases play several pertinent roles in cell proliferation, and targeting these proteins has been shown to be a successful strategy toward controlling different malignancies. Despite the great discovery stories during the last two decades, there is still a demand for anticancer small molecules with the potential of being selective on both the protein kinase and/or the cellular level. A series of novel piperazinylpyrimidine compounds were synthesized and tested for their potential to selectively inhibit the growth of certain tumor cell lines included within the NCI-60 cell line panel. MDA-MB-468, a triple-negative/basal-like breast carcinoma, cell line was among the most sensitive cell lines towards compounds 4 and 15. The three most interesting compounds identified in cellular screens (4, 15, and 16) were subjected to kinase profiling and found to have an interesting selective tendency to target certain kinase subfamily members; PDGFR, CK1, RAF and others. Compound 4 showed a selective tendency to bind to and/or inhibit the function of certain KIT and PDGFRA mutants compared to their wild-type isoforms. Piperazinylpyrimidine based derivatives represent a new class of selective kinase inhibitors. Significantly 4 is more potent at inhibiting oncogenic mutant forms of PDGFR family kinases, which is relevant in terms of its potential use in treating tumors that have become resistant to treatment or driven by such mutations. The clinical demand for agents useful in the control of triple-negative/basal-like breast cancer justifies our interest in compound 15 which is a potent growth inhibitor of MDA-MB-468 cell line.
|
Binding affinity to human KIT D816V mutant incubated for 1 hr by kinase binding assay
|
Homo sapiens
|
500.0
nM
|
|
Journal : Eur. J. Med. Chem.
Title : Discovery, synthesis, and investigation of the antitumor activity of novel piperazinylpyrimidine derivatives.
Year : 2011
Volume : 46
Issue : 6
First Page : 2043
Last Page : 2057
Authors : Shallal HM, Russu WA.
Abstract : Protein kinases play several pertinent roles in cell proliferation, and targeting these proteins has been shown to be a successful strategy toward controlling different malignancies. Despite the great discovery stories during the last two decades, there is still a demand for anticancer small molecules with the potential of being selective on both the protein kinase and/or the cellular level. A series of novel piperazinylpyrimidine compounds were synthesized and tested for their potential to selectively inhibit the growth of certain tumor cell lines included within the NCI-60 cell line panel. MDA-MB-468, a triple-negative/basal-like breast carcinoma, cell line was among the most sensitive cell lines towards compounds 4 and 15. The three most interesting compounds identified in cellular screens (4, 15, and 16) were subjected to kinase profiling and found to have an interesting selective tendency to target certain kinase subfamily members; PDGFR, CK1, RAF and others. Compound 4 showed a selective tendency to bind to and/or inhibit the function of certain KIT and PDGFRA mutants compared to their wild-type isoforms. Piperazinylpyrimidine based derivatives represent a new class of selective kinase inhibitors. Significantly 4 is more potent at inhibiting oncogenic mutant forms of PDGFR family kinases, which is relevant in terms of its potential use in treating tumors that have become resistant to treatment or driven by such mutations. The clinical demand for agents useful in the control of triple-negative/basal-like breast cancer justifies our interest in compound 15 which is a potent growth inhibitor of MDA-MB-468 cell line.
|
Binding constant for MLK1 kinase domain
|
None
|
290.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for MEK5 kinase domain
|
None
|
480.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for PFCDPK1(P.falciparum) kinase domain
|
None
|
370.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for AURKC kinase domain
|
None
|
750.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for STK16 kinase domain
|
None
|
360.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for DDR2 kinase domain
|
None
|
98.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for FGFR3 kinase domain
|
None
|
740.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for FGFR3(G697C) kinase domain
|
None
|
620.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for KIT kinase domain
|
None
|
2.8
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for KIT(A829P) kinase domain
|
None
|
33.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for KIT(D816V) kinase domain
|
None
|
500.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for KIT(L576P) kinase domain
|
None
|
1.8
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for KIT(V559D) kinase domain
|
None
|
2.3
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for KIT(V559D,T670I) kinase domain
|
None
|
6.5
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for KIT(V559D,V654A) kinase domain
|
None
|
30.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for HPK1 kinase domain
|
None
|
750.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for DDR1 kinase domain
|
None
|
57.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for FLT1 kinase domain
|
None
|
14.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for FLT4 kinase domain
|
None
|
27.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for FRK kinase domain
|
None
|
750.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for VEGFR2 kinase domain
|
None
|
14.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for LIMK1 kinase domain
|
None
|
720.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for MLK3 kinase domain
|
None
|
740.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for NEK2 kinase domain
|
None
|
980.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for PDGFRB kinase domain
|
None
|
2.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for PIK4CB kinase domain
|
None
|
960.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for RAF1 kinase domain
|
None
|
900.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for ROS1 kinase domain
|
None
|
920.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for MEK4 kinase domain
|
None
|
590.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for TTK kinase domain
|
None
|
150.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for RIPK1 kinase domain
|
None
|
260.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for RIPK2 kinase domain
|
None
|
580.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for FLT3(D835Y) kinase domain
|
None
|
810.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for FLT3(K663Q) kinase domain
|
None
|
740.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for BRAF kinase domain
|
None
|
730.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for BRAF(V600E) kinase domain
|
None
|
430.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for EPHB6 kinase domain
|
None
|
81.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for ABL1(E255K)-phosphorylated kinase domain
|
None
|
800.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for ABL1(H396P)-non phosphorylated kinase domain
|
None
|
380.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for ABL1(H396P)-phosphorylated kinase domain
|
None
|
700.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for ABL1(M351T)-phosphorylated kinase domain
|
None
|
560.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for ABL1(Q252H)-non phosphorylated kinase domain
|
None
|
530.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for ABL1(Q252H)-phosphorylated kinase domain
|
None
|
530.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for ABL1(Y253F)-phosphorylated kinase domain
|
None
|
480.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for ABL1-non phosphorylated kinase domain
|
None
|
620.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for ABL1-phosphorylated kinase domain
|
None
|
650.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for CSF1R kinase domain
|
None
|
7.9
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for GAK kinase domain
|
None
|
200.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for TIE1 kinase domain
|
None
|
700.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for LIMK2 kinase domain
|
None
|
390.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for LOK kinase domain
|
None
|
84.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for PDGFRA kinase domain
|
None
|
4.9
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for MAP3K2 kinase domain
|
None
|
290.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for IRAK3 kinase domain
|
None
|
800.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for PLK4 kinase domain
|
None
|
290.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for SLK kinase domain
|
None
|
240.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for TNIK kinase domain
|
None
|
310.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for STK36 kinase domain
|
None
|
470.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for TAOK3 kinase domain
|
None
|
45.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for RIOK2 kinase domain
|
None
|
610.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for RET kinase domain
|
None
|
310.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for RET(M918T) kinase domain
|
None
|
270.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for TAOK1 kinase domain
|
None
|
240.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for FGFR2 kinase domain
|
None
|
210.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for FGFR1 kinase domain
|
None
|
990.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for PIP5K2C kinase domain
|
None
|
280.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
Binding constant for YSK4 kinase domain
|
None
|
940.0
nM
|
|
Journal : Nat. Biotechnol.
Title : Comprehensive analysis of kinase inhibitor selectivity.
Year : 2011
Volume : 29
Issue : 11
First Page : 1046
Last Page : 1051
Authors : Davis MI, Hunt JP, Herrgard S, Ciceri P, Wodicka LM, Pallares G, Hocker M, Treiber DK, Zarrinkar PP.
Abstract : We tested the interaction of 72 kinase inhibitors with 442 kinases covering >80% of the human catalytic protein kinome. Our data show that, as a class, type II inhibitors are more selective than type I inhibitors, but that there are important exceptions to this trend. The data further illustrate that selective inhibitors have been developed against the majority of kinases targeted by the compounds tested. Analysis of the interaction patterns reveals a class of 'group-selective' inhibitors broadly active against a single subfamily of kinases, but selective outside that subfamily. The data set suggests compounds to use as tools to study kinases for which no dedicated inhibitors exist. It also provides a foundation for further exploring kinase inhibitor biology and toxicity, as well as for studying the structural basis of the observed interaction patterns. Our findings will help to realize the direct enabling potential of genomics for drug development and basic research about cellular signaling.
|
PUBCHEM_BIOASSAY: Navigating the Kinome. (Class of assay: other) Panel member name: MAP4K4
|
None
|
316.23
nM
|
|
Title : PubChem BioAssay data set
|
PUBCHEM_BIOASSAY: Navigating the Kinome. (Class of assay: other) Panel member name: CSF1R
|
None
|
19.95
nM
|
|
Title : PubChem BioAssay data set
|
PUBCHEM_BIOASSAY: Navigating the Kinome. (Class of assay: other) Panel member name: RET
|
None
|
79.43
nM
|
|
Title : PubChem BioAssay data set
|
PUBCHEM_BIOASSAY: Navigating the Kinome. (Class of assay: other) Panel member name: LCK
|
None
|
501.19
nM
|
|
Title : PubChem BioAssay data set
|
PUBCHEM_BIOASSAY: Navigating the Kinome. (Class of assay: other) Panel member name: MAPK8
|
None
|
501.19
nM
|
|
Title : PubChem BioAssay data set
|
PUBCHEM_BIOASSAY: Navigating the Kinome. (Class of assay: other) Panel member name: STK6
|
None
|
630.96
nM
|
|
Title : PubChem BioAssay data set
|
PUBCHEM_BIOASSAY: Navigating the Kinome. (Class of assay: other) Panel member name: FGFR1
|
None
|
158.49
nM
|
|
Title : PubChem BioAssay data set
|
PUBCHEM_BIOASSAY: Navigating the Kinome. (Class of assay: other) Panel member name: TAO1
|
None
|
794.33
nM
|
|
Title : PubChem BioAssay data set
|
PUBCHEM_BIOASSAY: Navigating the Kinome. (Class of assay: other) Panel member name: PDGFRB
|
None
|
3.981
nM
|
|
Title : PubChem BioAssay data set
|
PUBCHEM_BIOASSAY: Navigating the Kinome. (Class of assay: other) Panel member name: ABL1
|
None
|
316.23
nM
|
|
Title : PubChem BioAssay data set
|
PUBCHEM_BIOASSAY: Navigating the Kinome. (Class of assay: other) Panel member name: KDR
|
None
|
3.162
nM
|
|
Title : PubChem BioAssay data set
|
PUBCHEM_BIOASSAY: Navigating the Kinome. (Class of assay: other) Panel member name: PDGFRA
|
None
|
630.96
nM
|
|
Title : PubChem BioAssay data set
|
PUBCHEM_BIOASSAY: Navigating the Kinome. (Class of assay: other) Panel member name: NEK2
|
None
|
398.11
nM
|
|
Title : PubChem BioAssay data set
|
PUBCHEM_BIOASSAY: Navigating the Kinome. (Class of assay: other) Panel member name: FLT1
|
None
|
15.85
nM
|
|
Title : PubChem BioAssay data set
|
Inhibition of VEGFR2 (unknown origin)
|
Homo sapiens
|
30.0
nM
|
|
Journal : Med Chem Res
Title : Molecular docking study on anticancer activity of plant-derived natural products
Year : 2010
Volume : 19
Issue : 8
First Page : 817
Last Page : 835
Authors : Phosrithong N, Ungwitayatorn J
|
SANGER: Inhibition of human NOS-1 cell growth in a cell viability assay.
|
Homo sapiens
|
659.87
nM
|
|
Title : Genomics of Drug Sensitity in Cancer screening data, Wellcome Trust Sanger Institute
|
SANGER: Inhibition of human A204 cell growth in a cell viability assay.
|
Homo sapiens
|
109.06
nM
|
|
Title : Genomics of Drug Sensitity in Cancer screening data, Wellcome Trust Sanger Institute
|
SANGER: Inhibition of human AN3-CA cell growth in a cell viability assay.
|
Homo sapiens
|
10.05
nM
|
|
Title : Genomics of Drug Sensitity in Cancer screening data, Wellcome Trust Sanger Institute
|
SANGER: Inhibition of human CGTH-W-1 cell growth in a cell viability assay.
|
Homo sapiens
|
40.01
nM
|
|
Title : Genomics of Drug Sensitity in Cancer screening data, Wellcome Trust Sanger Institute
|
SANGER: Inhibition of human EoL-1-cell cell growth in a cell viability assay.
|
Homo sapiens
|
0.02889
nM
|
|
Title : Genomics of Drug Sensitity in Cancer screening data, Wellcome Trust Sanger Institute
|
SANGER: Inhibition of human G-402 cell growth in a cell viability assay.
|
Homo sapiens
|
531.84
nM
|
|
Title : Genomics of Drug Sensitity in Cancer screening data, Wellcome Trust Sanger Institute
|
SANGER: Inhibition of human GDM-1 cell growth in a cell viability assay.
|
Homo sapiens
|
103.99
nM
|
|
Title : Genomics of Drug Sensitity in Cancer screening data, Wellcome Trust Sanger Institute
|
SANGER: Inhibition of human HT55 cell growth in a cell viability assay.
|
Homo sapiens
|
987.81
nM
|
|
Title : Genomics of Drug Sensitity in Cancer screening data, Wellcome Trust Sanger Institute
|
SANGER: Inhibition of human KG-1 cell growth in a cell viability assay.
|
Homo sapiens
|
717.55
nM
|
|
Title : Genomics of Drug Sensitity in Cancer screening data, Wellcome Trust Sanger Institute
|
SANGER: Inhibition of human MFE-296 cell growth in a cell viability assay.
|
Homo sapiens
|
590.22
nM
|
|
Title : Genomics of Drug Sensitity in Cancer screening data, Wellcome Trust Sanger Institute
|
Inhibition of KDR (unknown origin)
|
Homo sapiens
|
5.012
nM
|
|
Journal : J. Med. Chem.
Title : Selectivity data: assessment, predictions, concordance, and implications.
Year : 2013
Volume : 56
Issue : 17
First Page : 6991
Last Page : 7002
Authors : Gao C, Cahya S, Nicolaou CA, Wang J, Watson IA, Cummins DJ, Iversen PW, Vieth M.
Abstract : Could high-quality in silico predictions in drug discovery eventually replace part or most of experimental testing? To evaluate the agreement of selectivity data from different experimental or predictive sources, we introduce the new metric concordance minimum significant ratio (cMSR). Empowered by cMSR, we find the overall level of agreement between predicted and experimental data to be comparable to that found between experimental results from different sources. However, for molecules that are either highly selective or potent, the concordance between different experimental sources is significantly higher than the concordance between experimental and predicted values. We also show that computational models built from one data set are less predictive for other data sources and highlight the importance of bias correction for assessing selectivity data. Finally, we show that small-molecule target space relationships derived from different data sources and predictive models share overall similarity but can significantly differ in details.
|
Binding affinity to human MLK3
|
Homo sapiens
|
740.0
nM
|
|
Journal : J. Med. Chem.
Title : Discovery, synthesis, and characterization of an orally bioavailable, brain penetrant inhibitor of mixed lineage kinase 3.
Year : 2013
Volume : 56
Issue : 20
First Page : 8032
Last Page : 8048
Authors : Goodfellow VS, Loweth CJ, Ravula SB, Wiemann T, Nguyen T, Xu Y, Todd DE, Sheppard D, Pollack S, Polesskaya O, Marker DF, Dewhurst S, Gelbard HA.
Abstract : Inhibition of mixed lineage kinase 3 (MLK3) is a potential strategy for treatment of Parkinson's disease and HIV-1 associated neurocognitive disorders (HAND), requiring an inhibitor that can achieve significant brain concentration levels. We report here URMC-099 (1) an orally bioavailable (F = 41%), potent (IC50 = 14 nM) MLK3 inhibitor with excellent brain exposure in mouse PK models and minimal interference with key human CYP450 enzymes or hERG channels. The compound inhibits LPS-induced TNFα release in microglial cells, HIV-1 Tat-induced release of cytokines in human monocytes and up-regulation of phospho-JNK in Tat-injected brains of mice. Compound 1 likely functions in HAND preclinical models by inhibiting multiple kinase pathways, including MLK3 and LRRK2 (IC50 = 11 nM). We compare the kinase specificity and BBB penetration of 1 with CEP-1347 (2). Compound 1 is well tolerated, with excellent in vivo activity in HAND models, and is under investigation for further development.
|
Inhibition of c-KIT tyrosine kinase (unknown origin) after 30 mins by HTRF method
|
Homo sapiens
|
74.0
nM
|
|
Journal : Bioorg. Med. Chem. Lett.
Title : Synthesis and biological evaluation of novel pazopanib derivatives as antitumor agents.
Year : 2014
Volume : 24
Issue : 4
First Page : 1108
Last Page : 1110
Authors : Qi H, Chen L, Liu B, Wang X, Long L, Liu D.
Abstract : A series of novel pazopanib derivatives, 7a-m, were designed and synthesized by modification of terminal benzene and indazole rings in pazopanib. The structures of all the synthesized compounds were confirmed by (1)H NMR and MS. Their inhibitory activity against VEGFR-2, PDGFR-α and c-kit tyrosine kinases were evaluated. All the compounds exhibited definite kinase inhibition, in which compound 7l was most potent with IC50 values of 12 nM against VEGFR-2. Furthermore, compounds 7c, 7d and 7m demonstrated comparable inhibitory activity against three tyrosine kinases to pazopanib, and compound 7f showed superior inhibitory effects than that of pazopanib.
|
Inhibition of PDGFR-alpha tyrosine kinase (unknown origin) after 30 mins by HTRF method
|
Homo sapiens
|
71.0
nM
|
|
Journal : Bioorg. Med. Chem. Lett.
Title : Synthesis and biological evaluation of novel pazopanib derivatives as antitumor agents.
Year : 2014
Volume : 24
Issue : 4
First Page : 1108
Last Page : 1110
Authors : Qi H, Chen L, Liu B, Wang X, Long L, Liu D.
Abstract : A series of novel pazopanib derivatives, 7a-m, were designed and synthesized by modification of terminal benzene and indazole rings in pazopanib. The structures of all the synthesized compounds were confirmed by (1)H NMR and MS. Their inhibitory activity against VEGFR-2, PDGFR-α and c-kit tyrosine kinases were evaluated. All the compounds exhibited definite kinase inhibition, in which compound 7l was most potent with IC50 values of 12 nM against VEGFR-2. Furthermore, compounds 7c, 7d and 7m demonstrated comparable inhibitory activity against three tyrosine kinases to pazopanib, and compound 7f showed superior inhibitory effects than that of pazopanib.
|
Inhibition of VEGFR-2 tyrosine kinase (unknown origin) after 30 mins by HTRF method
|
Homo sapiens
|
30.0
nM
|
|
Journal : Bioorg. Med. Chem. Lett.
Title : Synthesis and biological evaluation of novel pazopanib derivatives as antitumor agents.
Year : 2014
Volume : 24
Issue : 4
First Page : 1108
Last Page : 1110
Authors : Qi H, Chen L, Liu B, Wang X, Long L, Liu D.
Abstract : A series of novel pazopanib derivatives, 7a-m, were designed and synthesized by modification of terminal benzene and indazole rings in pazopanib. The structures of all the synthesized compounds were confirmed by (1)H NMR and MS. Their inhibitory activity against VEGFR-2, PDGFR-α and c-kit tyrosine kinases were evaluated. All the compounds exhibited definite kinase inhibition, in which compound 7l was most potent with IC50 values of 12 nM against VEGFR-2. Furthermore, compounds 7c, 7d and 7m demonstrated comparable inhibitory activity against three tyrosine kinases to pazopanib, and compound 7f showed superior inhibitory effects than that of pazopanib.
|
Binding affinity to human acrylodan-labeled N-terminal His-tagged DDR2 (558 to 855 aa) by FLiK assay
|
Homo sapiens
|
581.0
nM
|
|
Journal : J. Med. Chem.
Title : Identification of type II and III DDR2 inhibitors.
Year : 2014
Volume : 57
Issue : 10
First Page : 4252
Last Page : 4262
Authors : Richters A, Nguyen HD, Phan T, Simard JR, Grütter C, Engel J, Rauh D.
Abstract : Discoidin domain-containing receptors (DDRs) exhibit a unique mechanism of action among the receptor tyrosine kinases (RTKs) because their catalytic activity is induced by extracellular collagen binding. Moreover, they are essential components in the assimilation of extracellular signals. Recently, DDRs were reported to be significantly linked to tumor progression in breast cancer by facilitating the processes of invasion, migration, and metastasis. Here, we report the successful development of a fluorescence-based, direct binding assay for the detection of type II and III DFG-out binders for DDR2. Using sequence alignments and homology modeling, we designed a DDR2 construct appropriate for fluorescent labeling. Successful assay development was validated by sensitive detection of a reference DFG-out binder. Subsequent downscaling led to convenient application to high-throughput screening formats. Screening of a representative compound library identified high-affinity DDR2 ligands validated by orthogonal activity-based assays, and a subset of identified compounds was further investigated with respect to DDR1 inhibition.
|
Inhibition of wild type DDR2 (unknown origin) preincubated for 30 mins before substrate addition by FRET assay
|
Homo sapiens
|
50.0
nM
|
|
Journal : J. Med. Chem.
Title : Identification of type II and III DDR2 inhibitors.
Year : 2014
Volume : 57
Issue : 10
First Page : 4252
Last Page : 4262
Authors : Richters A, Nguyen HD, Phan T, Simard JR, Grütter C, Engel J, Rauh D.
Abstract : Discoidin domain-containing receptors (DDRs) exhibit a unique mechanism of action among the receptor tyrosine kinases (RTKs) because their catalytic activity is induced by extracellular collagen binding. Moreover, they are essential components in the assimilation of extracellular signals. Recently, DDRs were reported to be significantly linked to tumor progression in breast cancer by facilitating the processes of invasion, migration, and metastasis. Here, we report the successful development of a fluorescence-based, direct binding assay for the detection of type II and III DFG-out binders for DDR2. Using sequence alignments and homology modeling, we designed a DDR2 construct appropriate for fluorescent labeling. Successful assay development was validated by sensitive detection of a reference DFG-out binder. Subsequent downscaling led to convenient application to high-throughput screening formats. Screening of a representative compound library identified high-affinity DDR2 ligands validated by orthogonal activity-based assays, and a subset of identified compounds was further investigated with respect to DDR1 inhibition.
|
Inhibition of DDR2 T654M mutant (unknown origin) preincubated for 30 mins before substrate addition by FRET assay
|
Homo sapiens
|
51.0
nM
|
|
Journal : J. Med. Chem.
Title : Identification of type II and III DDR2 inhibitors.
Year : 2014
Volume : 57
Issue : 10
First Page : 4252
Last Page : 4262
Authors : Richters A, Nguyen HD, Phan T, Simard JR, Grütter C, Engel J, Rauh D.
Abstract : Discoidin domain-containing receptors (DDRs) exhibit a unique mechanism of action among the receptor tyrosine kinases (RTKs) because their catalytic activity is induced by extracellular collagen binding. Moreover, they are essential components in the assimilation of extracellular signals. Recently, DDRs were reported to be significantly linked to tumor progression in breast cancer by facilitating the processes of invasion, migration, and metastasis. Here, we report the successful development of a fluorescence-based, direct binding assay for the detection of type II and III DFG-out binders for DDR2. Using sequence alignments and homology modeling, we designed a DDR2 construct appropriate for fluorescent labeling. Successful assay development was validated by sensitive detection of a reference DFG-out binder. Subsequent downscaling led to convenient application to high-throughput screening formats. Screening of a representative compound library identified high-affinity DDR2 ligands validated by orthogonal activity-based assays, and a subset of identified compounds was further investigated with respect to DDR1 inhibition.
|
Binding affinity to wild type DDR2 (unknown origin) by FLiK assay
|
Homo sapiens
|
98.0
nM
|
|
Journal : J. Med. Chem.
Title : Identification of type II and III DDR2 inhibitors.
Year : 2014
Volume : 57
Issue : 10
First Page : 4252
Last Page : 4262
Authors : Richters A, Nguyen HD, Phan T, Simard JR, Grütter C, Engel J, Rauh D.
Abstract : Discoidin domain-containing receptors (DDRs) exhibit a unique mechanism of action among the receptor tyrosine kinases (RTKs) because their catalytic activity is induced by extracellular collagen binding. Moreover, they are essential components in the assimilation of extracellular signals. Recently, DDRs were reported to be significantly linked to tumor progression in breast cancer by facilitating the processes of invasion, migration, and metastasis. Here, we report the successful development of a fluorescence-based, direct binding assay for the detection of type II and III DFG-out binders for DDR2. Using sequence alignments and homology modeling, we designed a DDR2 construct appropriate for fluorescent labeling. Successful assay development was validated by sensitive detection of a reference DFG-out binder. Subsequent downscaling led to convenient application to high-throughput screening formats. Screening of a representative compound library identified high-affinity DDR2 ligands validated by orthogonal activity-based assays, and a subset of identified compounds was further investigated with respect to DDR1 inhibition.
|
Binding affinity to DDR2 (unknown origin)
|
Homo sapiens
|
57.0
nM
|
|
Journal : J. Med. Chem.
Title : Small molecule discoidin domain receptor kinase inhibitors and potential medical applications.
Year : 2015
Volume : 58
Issue : 8
First Page : 3287
Last Page : 3301
Authors : Li Y, Lu X, Ren X, Ding K.
Abstract : Discoidin domain receptors (DDRs) are members of the transmembrane receptor tyrosine kinase (RTK) superfamily which are distinguished from others by the presence of a discoidin motif in the extracellular domain and their utilization of collagens as internal ligands. Two types of DDRs, DDR1 and DDR2, have been identified with distinct expression profiles and ligand specificities. These DDRs play important roles in the regulation of fundamental cellular process, such as proliferation, survival, differentiation, adhesion, and matrix remodeling. They have also been closely linked to a number of human diseases, including various fibrotic disorders, atherosclerosis, and cancer. As a consequence, DDRs have been considered as novel potential molecular targets for drug discovery and increasing efforts are being devoted to the identification of new small molecule inhibitors targeting the receptors. In this review, we offer a contemporary overview on the discovery of DDRs inhibitors and their potential medical application for the treatment of cancer and inflammation related disorders.
|
PubChem BioAssay. VEGF stimulated ADSC/ECFC co-culture CD31-stained tube area decrease-IC50. (Class of assay: confirmatory)
|
None
|
46.5
nM
|
|
Title : PubChem BioAssay data set
|
Antiangiogenic activity in mouse model of laser-induced choroidal neovascularization assessed as inhibition of neovascular lesion formation at 100 mg/kg, po bid for 7 days
|
Mus musculus
|
93.0
%
|
|
Journal : J. Med. Chem.
Title : Discovery of Oral VEGFR-2 Inhibitors with Prolonged Ocular Retention That Are Efficacious in Models of Wet Age-Related Macular Degeneration.
Year : 2015
Volume : 58
Issue : 23
First Page : 9273
Last Page : 9286
Authors : Meredith EL, Mainolfi N, Poor S, Qiu Y, Miranda K, Powers J, Liu D, Ma F, Solovay C, Rao C, Johnson L, Ji N, Artman G, Hardegger L, Hanks S, Shen S, Woolfenden A, Fassbender E, Sivak JM, Zhang Y, Long D, Cepeda R, Liu F, Hosagrahara VP, Lee W, Tarsa P, Anderson K, Elliott J, Jaffee B.
Abstract : The benefit of intravitreal anti-VEGF therapy in treating wet age-related macular degeneration (AMD) is well established. Identification of VEGFR-2 inhibitors with optimal ADME properties for an ocular indication provides opportunities for dosing routes beyond intravitreal injection. We employed a high-throughput in vivo screening strategy with rodent models of choroidal neovascularization and iterative compound design to identify VEGFR-2 inhibitors with potential to benefit wet AMD patients. These compounds demonstrate preferential ocular tissue distribution and efficacy after oral administration while minimizing systemic exposure.
|
Inhibition of AChE (unknown origin)
|
Homo sapiens
|
930.0
nM
|
|
Journal : J. Med. Chem.
Title : Impact of Binding Site Comparisons on Medicinal Chemistry and Rational Molecular Design.
Year : 2016
Volume : 59
Issue : 9
First Page : 4121
Last Page : 4151
Authors : Ehrt C, Brinkjost T, Koch O.
Abstract : Modern rational drug design not only deals with the search for ligands binding to interesting and promising validated targets but also aims to identify the function and ligands of yet uncharacterized proteins having impact on different diseases. Additionally, it contributes to the design of inhibitors with distinct selectivity patterns and the prediction of possible off-target effects. The identification of similarities between binding sites of various proteins is a useful approach to cope with those challenges. The main scope of this perspective is to describe applications of different protein binding site comparison approaches to outline their applicability and impact on molecular design. The article deals with various substantial application domains and provides some outstanding examples to show how various binding site comparison methods can be applied to promote in silico drug design workflows. In addition, we will also briefly introduce the fundamental principles of different protein binding site comparison methods.
|
Further kinetic evaluation of compounds supplied by Sanofi against AuroraA within a BIAcore3000 instrument
|
Homo sapiens
|
963.95
nM
|
|
Title : K4DD drug target binding kinetics data
Authors : Doris A.Schuetz, Wilhelmus Egbertus Arnout de Witte, Yin Cheong Wong, Bernhard Knasmueller, Lars Richter, Daria B. Kokh, S. Kashif Sadiq, Reggie Bosma, Indira Nederpelt, Laura H. Heitman, Elena Segala, Marta Amaral, Dong Guo, Dorothee Andres, Victoria Georgi, Leigh A. Stoddart, Steve Hill, Robert M. Cooke, Chris De Graaf, Rob Leurs, Matthias Frech, Rebecca C. Wade, Elizabeth Cunera Mariade Lange, Adriaan P. IJzerman, Anke Müller-Fahrnow, Gerhard F. Ecker
Abstract : The K4DD (Kinetics for Drug Discovery) project (started in 2012) is supported by the Innovative Medicines Initiative Joint Undertaking (IMI JU), resources of which are composed of a financial contribution from the European Union's Seventh Framework Programme (FP7/2007-2013) and EFPIA companies' in kind contribution. Its goal is to enable the adoption of drug-target binding kinetics analysis in the drug discovery decision-making process, and thereby contribute to the development of a new generation of improved medicinal products. This data set contains drug-target binding kinetics measured for several hundred compounds using different methods such as SPR, radioligand binding and KPCA and is is provided as an open resource for future research.
|
Kinobeads (epsilon), multiple immobilized ATP-competitive broad spectrum kinase inhibitors, used to assess residual binding of ~300 proteins simultaneously from cell lysate in the presence of a compound. Quantitative readout performed by mass spectrometry.
|
Homo sapiens
|
132.0
nM
|
|
Journal : Science
Title : The target landscape of clinical kinase drugs.
Year : 2017
Volume : 358
Issue : 6367
Authors : Klaeger S, Heinzlmeir S and Wilhelm M et al
Abstract : Kinase inhibitors are important cancer therapeutics. Polypharmacology is commonly observed, requiring thorough target deconvolution to understand drug mechanism of action. Using chemical proteomics, we analyzed the target spectrum of 243 clinically evaluated kinase drugs. The data revealed previously unknown targets for established drugs, offered a perspective on the "druggable" kinome, highlighted (non)kinase off-targets, and suggested potential therapeutic applications. Integration of phosphoproteomic data refined drug-affected pathways, identified response markers, and strengthened rationale for combination treatments. We exemplify translational value by discovering SIK2 (salt-inducible kinase 2) inhibitors that modulate cytokine production in primary cells, by identifying drugs against the lung cancer survival marker MELK (maternal embryonic leucine zipper kinase), and by repurposing cabozantinib to treat FLT3-ITD-positive acute myeloid leukemia. This resource, available via the ProteomicsDB database, should facilitate basic, clinical, and drug discovery research and aid clinical decision-making.
|
Kinobeads (epsilon), multiple immobilized ATP-competitive broad spectrum kinase inhibitors, used to assess residual binding of ~300 proteins simultaneously from cell lysate in the presence of a compound. Quantitative readout performed by mass spectrometry.
|
Homo sapiens
|
121.0
nM
|
|
Journal : Science
Title : The target landscape of clinical kinase drugs.
Year : 2017
Volume : 358
Issue : 6367
Authors : Klaeger S, Heinzlmeir S and Wilhelm M et al
Abstract : Kinase inhibitors are important cancer therapeutics. Polypharmacology is commonly observed, requiring thorough target deconvolution to understand drug mechanism of action. Using chemical proteomics, we analyzed the target spectrum of 243 clinically evaluated kinase drugs. The data revealed previously unknown targets for established drugs, offered a perspective on the "druggable" kinome, highlighted (non)kinase off-targets, and suggested potential therapeutic applications. Integration of phosphoproteomic data refined drug-affected pathways, identified response markers, and strengthened rationale for combination treatments. We exemplify translational value by discovering SIK2 (salt-inducible kinase 2) inhibitors that modulate cytokine production in primary cells, by identifying drugs against the lung cancer survival marker MELK (maternal embryonic leucine zipper kinase), and by repurposing cabozantinib to treat FLT3-ITD-positive acute myeloid leukemia. This resource, available via the ProteomicsDB database, should facilitate basic, clinical, and drug discovery research and aid clinical decision-making.
|
Kinobeads (epsilon), multiple immobilized ATP-competitive broad spectrum kinase inhibitors, used to assess residual binding of ~300 proteins simultaneously from cell lysate in the presence of a compound. Quantitative readout performed by mass spectrometry.
|
Homo sapiens
|
430.0
nM
|
|
Journal : Science
Title : The target landscape of clinical kinase drugs.
Year : 2017
Volume : 358
Issue : 6367
Authors : Klaeger S, Heinzlmeir S and Wilhelm M et al
Abstract : Kinase inhibitors are important cancer therapeutics. Polypharmacology is commonly observed, requiring thorough target deconvolution to understand drug mechanism of action. Using chemical proteomics, we analyzed the target spectrum of 243 clinically evaluated kinase drugs. The data revealed previously unknown targets for established drugs, offered a perspective on the "druggable" kinome, highlighted (non)kinase off-targets, and suggested potential therapeutic applications. Integration of phosphoproteomic data refined drug-affected pathways, identified response markers, and strengthened rationale for combination treatments. We exemplify translational value by discovering SIK2 (salt-inducible kinase 2) inhibitors that modulate cytokine production in primary cells, by identifying drugs against the lung cancer survival marker MELK (maternal embryonic leucine zipper kinase), and by repurposing cabozantinib to treat FLT3-ITD-positive acute myeloid leukemia. This resource, available via the ProteomicsDB database, should facilitate basic, clinical, and drug discovery research and aid clinical decision-making.
|
Kinobeads (epsilon), multiple immobilized ATP-competitive broad spectrum kinase inhibitors, used to assess residual binding of ~300 proteins simultaneously from cell lysate in the presence of a compound. Quantitative readout performed by mass spectrometry.
|
Homo sapiens
|
292.0
nM
|
|
Journal : Science
Title : The target landscape of clinical kinase drugs.
Year : 2017
Volume : 358
Issue : 6367
Authors : Klaeger S, Heinzlmeir S and Wilhelm M et al
Abstract : Kinase inhibitors are important cancer therapeutics. Polypharmacology is commonly observed, requiring thorough target deconvolution to understand drug mechanism of action. Using chemical proteomics, we analyzed the target spectrum of 243 clinically evaluated kinase drugs. The data revealed previously unknown targets for established drugs, offered a perspective on the "druggable" kinome, highlighted (non)kinase off-targets, and suggested potential therapeutic applications. Integration of phosphoproteomic data refined drug-affected pathways, identified response markers, and strengthened rationale for combination treatments. We exemplify translational value by discovering SIK2 (salt-inducible kinase 2) inhibitors that modulate cytokine production in primary cells, by identifying drugs against the lung cancer survival marker MELK (maternal embryonic leucine zipper kinase), and by repurposing cabozantinib to treat FLT3-ITD-positive acute myeloid leukemia. This resource, available via the ProteomicsDB database, should facilitate basic, clinical, and drug discovery research and aid clinical decision-making.
|
Inhibition of VEGFR-2 (unknown origin) at 0.2 uM after 40 mins by kinase-Glo assay relative to control
|
Homo sapiens
|
95.0
%
|
|
Journal : J Med Chem
Title : Discovery of Novel Pazopanib-Based HDAC and VEGFR Dual Inhibitors Targeting Cancer Epigenetics and Angiogenesis Simultaneously.
Year : 2018
Volume : 61
Issue : 12
First Page : 5304
Last Page : 5322
Authors : Zang J, Liang X, Huang Y, Jia Y, Li X, Xu W, Chou CJ, Zhang Y.
Abstract : Herein a novel series of pazopanib hybrids as polypharmacological antitumor agents were developed based on the crosstalk between histone deacetylases (HDACs) and vascular endothelial growth factor (VEGF) pathway. Among them, one ortho-aminoanilide 6d and one hydroxamic acid 13f exhibited considerable total HDACs and VEGFR-2 inhibitory activities. The HDAC inhibitory activities endowed 6d and 13f with potent antiproliferative activities, which was not observed in the approved VEGFR inhibitor pazopanib. Compounds 6d and 13f possessed comparable HDAC isoform selectivity profiles to the clinical class I HDAC inhibitor MS-275 and the approved pan-HDAC inhibitor SAHA, respectively. 6d and 13f also exhibited uncompromised multiple tyrosine kinases inhibitory activities relative to pazopanib. The intracellular dual inhibition to HDAC and VEGFR of 6d and 13f was validated by Western blot analysis. In both HUVECs tube formation assay and rat thoracic aorta rings assay, 6d and 13f showed comparable antiangiogenic potencies to pazopanib. What's more, 6d possessed desirable pharmacokinetic profiles with the oral bioavailability of 72% in SD rats and considerable in vivo antitumor efficacy in a human colorectal adenocarcinoma (HT-29) xenograft model.
|
Inhibition of VEGFR-2 (unknown origin) after 40 mins by kinase-Glo assay
|
Homo sapiens
|
34.0
nM
|
|
Journal : J Med Chem
Title : Discovery of Novel Pazopanib-Based HDAC and VEGFR Dual Inhibitors Targeting Cancer Epigenetics and Angiogenesis Simultaneously.
Year : 2018
Volume : 61
Issue : 12
First Page : 5304
Last Page : 5322
Authors : Zang J, Liang X, Huang Y, Jia Y, Li X, Xu W, Chou CJ, Zhang Y.
Abstract : Herein a novel series of pazopanib hybrids as polypharmacological antitumor agents were developed based on the crosstalk between histone deacetylases (HDACs) and vascular endothelial growth factor (VEGF) pathway. Among them, one ortho-aminoanilide 6d and one hydroxamic acid 13f exhibited considerable total HDACs and VEGFR-2 inhibitory activities. The HDAC inhibitory activities endowed 6d and 13f with potent antiproliferative activities, which was not observed in the approved VEGFR inhibitor pazopanib. Compounds 6d and 13f possessed comparable HDAC isoform selectivity profiles to the clinical class I HDAC inhibitor MS-275 and the approved pan-HDAC inhibitor SAHA, respectively. 6d and 13f also exhibited uncompromised multiple tyrosine kinases inhibitory activities relative to pazopanib. The intracellular dual inhibition to HDAC and VEGFR of 6d and 13f was validated by Western blot analysis. In both HUVECs tube formation assay and rat thoracic aorta rings assay, 6d and 13f showed comparable antiangiogenic potencies to pazopanib. What's more, 6d possessed desirable pharmacokinetic profiles with the oral bioavailability of 72% in SD rats and considerable in vivo antitumor efficacy in a human colorectal adenocarcinoma (HT-29) xenograft model.
|
Inhibition of VEGFR-1 (unknown origin) after 40 mins by kinase-Glo assay
|
Homo sapiens
|
98.0
nM
|
|
Journal : J Med Chem
Title : Discovery of Novel Pazopanib-Based HDAC and VEGFR Dual Inhibitors Targeting Cancer Epigenetics and Angiogenesis Simultaneously.
Year : 2018
Volume : 61
Issue : 12
First Page : 5304
Last Page : 5322
Authors : Zang J, Liang X, Huang Y, Jia Y, Li X, Xu W, Chou CJ, Zhang Y.
Abstract : Herein a novel series of pazopanib hybrids as polypharmacological antitumor agents were developed based on the crosstalk between histone deacetylases (HDACs) and vascular endothelial growth factor (VEGF) pathway. Among them, one ortho-aminoanilide 6d and one hydroxamic acid 13f exhibited considerable total HDACs and VEGFR-2 inhibitory activities. The HDAC inhibitory activities endowed 6d and 13f with potent antiproliferative activities, which was not observed in the approved VEGFR inhibitor pazopanib. Compounds 6d and 13f possessed comparable HDAC isoform selectivity profiles to the clinical class I HDAC inhibitor MS-275 and the approved pan-HDAC inhibitor SAHA, respectively. 6d and 13f also exhibited uncompromised multiple tyrosine kinases inhibitory activities relative to pazopanib. The intracellular dual inhibition to HDAC and VEGFR of 6d and 13f was validated by Western blot analysis. In both HUVECs tube formation assay and rat thoracic aorta rings assay, 6d and 13f showed comparable antiangiogenic potencies to pazopanib. What's more, 6d possessed desirable pharmacokinetic profiles with the oral bioavailability of 72% in SD rats and considerable in vivo antitumor efficacy in a human colorectal adenocarcinoma (HT-29) xenograft model.
|
Inhibition of VEGFR-3 (unknown origin) after 40 mins by kinase-Glo assay
|
Homo sapiens
|
46.0
nM
|
|
Journal : J Med Chem
Title : Discovery of Novel Pazopanib-Based HDAC and VEGFR Dual Inhibitors Targeting Cancer Epigenetics and Angiogenesis Simultaneously.
Year : 2018
Volume : 61
Issue : 12
First Page : 5304
Last Page : 5322
Authors : Zang J, Liang X, Huang Y, Jia Y, Li X, Xu W, Chou CJ, Zhang Y.
Abstract : Herein a novel series of pazopanib hybrids as polypharmacological antitumor agents were developed based on the crosstalk between histone deacetylases (HDACs) and vascular endothelial growth factor (VEGF) pathway. Among them, one ortho-aminoanilide 6d and one hydroxamic acid 13f exhibited considerable total HDACs and VEGFR-2 inhibitory activities. The HDAC inhibitory activities endowed 6d and 13f with potent antiproliferative activities, which was not observed in the approved VEGFR inhibitor pazopanib. Compounds 6d and 13f possessed comparable HDAC isoform selectivity profiles to the clinical class I HDAC inhibitor MS-275 and the approved pan-HDAC inhibitor SAHA, respectively. 6d and 13f also exhibited uncompromised multiple tyrosine kinases inhibitory activities relative to pazopanib. The intracellular dual inhibition to HDAC and VEGFR of 6d and 13f was validated by Western blot analysis. In both HUVECs tube formation assay and rat thoracic aorta rings assay, 6d and 13f showed comparable antiangiogenic potencies to pazopanib. What's more, 6d possessed desirable pharmacokinetic profiles with the oral bioavailability of 72% in SD rats and considerable in vivo antitumor efficacy in a human colorectal adenocarcinoma (HT-29) xenograft model.
|
Inhibition of PDGFRbeta (unknown origin) after 40 mins by kinase-Glo assay
|
Homo sapiens
|
83.0
nM
|
|
Journal : J Med Chem
Title : Discovery of Novel Pazopanib-Based HDAC and VEGFR Dual Inhibitors Targeting Cancer Epigenetics and Angiogenesis Simultaneously.
Year : 2018
Volume : 61
Issue : 12
First Page : 5304
Last Page : 5322
Authors : Zang J, Liang X, Huang Y, Jia Y, Li X, Xu W, Chou CJ, Zhang Y.
Abstract : Herein a novel series of pazopanib hybrids as polypharmacological antitumor agents were developed based on the crosstalk between histone deacetylases (HDACs) and vascular endothelial growth factor (VEGF) pathway. Among them, one ortho-aminoanilide 6d and one hydroxamic acid 13f exhibited considerable total HDACs and VEGFR-2 inhibitory activities. The HDAC inhibitory activities endowed 6d and 13f with potent antiproliferative activities, which was not observed in the approved VEGFR inhibitor pazopanib. Compounds 6d and 13f possessed comparable HDAC isoform selectivity profiles to the clinical class I HDAC inhibitor MS-275 and the approved pan-HDAC inhibitor SAHA, respectively. 6d and 13f also exhibited uncompromised multiple tyrosine kinases inhibitory activities relative to pazopanib. The intracellular dual inhibition to HDAC and VEGFR of 6d and 13f was validated by Western blot analysis. In both HUVECs tube formation assay and rat thoracic aorta rings assay, 6d and 13f showed comparable antiangiogenic potencies to pazopanib. What's more, 6d possessed desirable pharmacokinetic profiles with the oral bioavailability of 72% in SD rats and considerable in vivo antitumor efficacy in a human colorectal adenocarcinoma (HT-29) xenograft model.
|
Inhibition of FGFR1 (unknown origin) after 40 mins by kinase-Glo assay
|
Homo sapiens
|
163.0
nM
|
|
Journal : J Med Chem
Title : Discovery of Novel Pazopanib-Based HDAC and VEGFR Dual Inhibitors Targeting Cancer Epigenetics and Angiogenesis Simultaneously.
Year : 2018
Volume : 61
Issue : 12
First Page : 5304
Last Page : 5322
Authors : Zang J, Liang X, Huang Y, Jia Y, Li X, Xu W, Chou CJ, Zhang Y.
Abstract : Herein a novel series of pazopanib hybrids as polypharmacological antitumor agents were developed based on the crosstalk between histone deacetylases (HDACs) and vascular endothelial growth factor (VEGF) pathway. Among them, one ortho-aminoanilide 6d and one hydroxamic acid 13f exhibited considerable total HDACs and VEGFR-2 inhibitory activities. The HDAC inhibitory activities endowed 6d and 13f with potent antiproliferative activities, which was not observed in the approved VEGFR inhibitor pazopanib. Compounds 6d and 13f possessed comparable HDAC isoform selectivity profiles to the clinical class I HDAC inhibitor MS-275 and the approved pan-HDAC inhibitor SAHA, respectively. 6d and 13f also exhibited uncompromised multiple tyrosine kinases inhibitory activities relative to pazopanib. The intracellular dual inhibition to HDAC and VEGFR of 6d and 13f was validated by Western blot analysis. In both HUVECs tube formation assay and rat thoracic aorta rings assay, 6d and 13f showed comparable antiangiogenic potencies to pazopanib. What's more, 6d possessed desirable pharmacokinetic profiles with the oral bioavailability of 72% in SD rats and considerable in vivo antitumor efficacy in a human colorectal adenocarcinoma (HT-29) xenograft model.
|
Inhibition of C-fms (unknown origin) after 40 mins by kinase-Glo assay
|
Homo sapiens
|
274.0
nM
|
|
Journal : J Med Chem
Title : Discovery of Novel Pazopanib-Based HDAC and VEGFR Dual Inhibitors Targeting Cancer Epigenetics and Angiogenesis Simultaneously.
Year : 2018
Volume : 61
Issue : 12
First Page : 5304
Last Page : 5322
Authors : Zang J, Liang X, Huang Y, Jia Y, Li X, Xu W, Chou CJ, Zhang Y.
Abstract : Herein a novel series of pazopanib hybrids as polypharmacological antitumor agents were developed based on the crosstalk between histone deacetylases (HDACs) and vascular endothelial growth factor (VEGF) pathway. Among them, one ortho-aminoanilide 6d and one hydroxamic acid 13f exhibited considerable total HDACs and VEGFR-2 inhibitory activities. The HDAC inhibitory activities endowed 6d and 13f with potent antiproliferative activities, which was not observed in the approved VEGFR inhibitor pazopanib. Compounds 6d and 13f possessed comparable HDAC isoform selectivity profiles to the clinical class I HDAC inhibitor MS-275 and the approved pan-HDAC inhibitor SAHA, respectively. 6d and 13f also exhibited uncompromised multiple tyrosine kinases inhibitory activities relative to pazopanib. The intracellular dual inhibition to HDAC and VEGFR of 6d and 13f was validated by Western blot analysis. In both HUVECs tube formation assay and rat thoracic aorta rings assay, 6d and 13f showed comparable antiangiogenic potencies to pazopanib. What's more, 6d possessed desirable pharmacokinetic profiles with the oral bioavailability of 72% in SD rats and considerable in vivo antitumor efficacy in a human colorectal adenocarcinoma (HT-29) xenograft model.
|
Inhibition of C-kit (unknown origin) after 40 mins by kinase-Glo assay
|
Homo sapiens
|
118.0
nM
|
|
Journal : J Med Chem
Title : Discovery of Novel Pazopanib-Based HDAC and VEGFR Dual Inhibitors Targeting Cancer Epigenetics and Angiogenesis Simultaneously.
Year : 2018
Volume : 61
Issue : 12
First Page : 5304
Last Page : 5322
Authors : Zang J, Liang X, Huang Y, Jia Y, Li X, Xu W, Chou CJ, Zhang Y.
Abstract : Herein a novel series of pazopanib hybrids as polypharmacological antitumor agents were developed based on the crosstalk between histone deacetylases (HDACs) and vascular endothelial growth factor (VEGF) pathway. Among them, one ortho-aminoanilide 6d and one hydroxamic acid 13f exhibited considerable total HDACs and VEGFR-2 inhibitory activities. The HDAC inhibitory activities endowed 6d and 13f with potent antiproliferative activities, which was not observed in the approved VEGFR inhibitor pazopanib. Compounds 6d and 13f possessed comparable HDAC isoform selectivity profiles to the clinical class I HDAC inhibitor MS-275 and the approved pan-HDAC inhibitor SAHA, respectively. 6d and 13f also exhibited uncompromised multiple tyrosine kinases inhibitory activities relative to pazopanib. The intracellular dual inhibition to HDAC and VEGFR of 6d and 13f was validated by Western blot analysis. In both HUVECs tube formation assay and rat thoracic aorta rings assay, 6d and 13f showed comparable antiangiogenic potencies to pazopanib. What's more, 6d possessed desirable pharmacokinetic profiles with the oral bioavailability of 72% in SD rats and considerable in vivo antitumor efficacy in a human colorectal adenocarcinoma (HT-29) xenograft model.
|
Inhibition of GST-tagged human VEGFR2 C-terminal domain using (biotin-aminohexyl-EEEEYFELVAKKKK-NH2 substrate incubated for 60 mins by HTRF assay
|
Homo sapiens
|
30.0
nM
|
|
Journal : Eur J Med Chem
Title : Recent developments in small molecule therapies for renal cell carcinoma.
Year : 2017
Volume : 142
First Page : 383
Last Page : 392
Authors : Song M.
Abstract : Renal cell carcinoma (RCC) is the most common type of kidney cancer in adults and is known to be the 10th most common type of cancer in the world. Most of the currently available RCC drugs are tyrosine kinase inhibitors (TKIs). However, combination therapies of TKIs and immune checkpoint inhibitors such as programmed cell death protein 1 (PD-1) and programmed cell death protein 1 ligand 1 (PD-L1) inhibitors are the focus of most of the final stage clinical trials. Meanwhile, other small molecule therapies for RCC that target indoleamine-2,3-dioxygenase (IDO1), glutaminase, C-X-C chemokine receptor 4 (CXCR4), and transglutaminase 2 (TG2) are emerging as the next generation of therapeutics. In this review, these three major streams for the development of small molecule drugs for RCC are described.
|
Inhibition of VEGF-induced cell proliferation of HUVEC pre-incubated for 30 mins before VEGF stimulation for 72 hrs by BrdUrd incorporation assay
|
Homo sapiens
|
21.0
nM
|
|
Journal : Eur J Med Chem
Title : Recent developments in small molecule therapies for renal cell carcinoma.
Year : 2017
Volume : 142
First Page : 383
Last Page : 392
Authors : Song M.
Abstract : Renal cell carcinoma (RCC) is the most common type of kidney cancer in adults and is known to be the 10th most common type of cancer in the world. Most of the currently available RCC drugs are tyrosine kinase inhibitors (TKIs). However, combination therapies of TKIs and immune checkpoint inhibitors such as programmed cell death protein 1 (PD-1) and programmed cell death protein 1 ligand 1 (PD-L1) inhibitors are the focus of most of the final stage clinical trials. Meanwhile, other small molecule therapies for RCC that target indoleamine-2,3-dioxygenase (IDO1), glutaminase, C-X-C chemokine receptor 4 (CXCR4), and transglutaminase 2 (TG2) are emerging as the next generation of therapeutics. In this review, these three major streams for the development of small molecule drugs for RCC are described.
|
Inhibition of FGF-induced cell proliferation of HUVEC pre-incubated for 30 mins before FGF stimulation for 72 hrs by BrdUrd incorporation assay
|
Homo sapiens
|
720.0
nM
|
|
Journal : Eur J Med Chem
Title : Recent developments in small molecule therapies for renal cell carcinoma.
Year : 2017
Volume : 142
First Page : 383
Last Page : 392
Authors : Song M.
Abstract : Renal cell carcinoma (RCC) is the most common type of kidney cancer in adults and is known to be the 10th most common type of cancer in the world. Most of the currently available RCC drugs are tyrosine kinase inhibitors (TKIs). However, combination therapies of TKIs and immune checkpoint inhibitors such as programmed cell death protein 1 (PD-1) and programmed cell death protein 1 ligand 1 (PD-L1) inhibitors are the focus of most of the final stage clinical trials. Meanwhile, other small molecule therapies for RCC that target indoleamine-2,3-dioxygenase (IDO1), glutaminase, C-X-C chemokine receptor 4 (CXCR4), and transglutaminase 2 (TG2) are emerging as the next generation of therapeutics. In this review, these three major streams for the development of small molecule drugs for RCC are described.
|
Inhibition of VEGFR2 (unknown origin)
|
Homo sapiens
|
30.0
nM
|
|
Journal : Eur J Med Chem
Title : Evolution in medicinal chemistry of sorafenib derivatives for hepatocellular carcinoma.
Year : 2019
Volume : 179
First Page : 916
Last Page : 935
Authors : Chen F, Fang Y, Zhao R, Le J, Zhang B, Huang R, Chen Z, Shao J.
Abstract : Hepatocellular carcinoma (HCC) is one of the most common malignant tumors. Traditional chemotherapy drugs are hard to reach a satisfactory therapeutic effect since advanced HCC is highly chemo-resistant. Sorafenib is an oral multikinase inhibitor that can suppress tumor cell proliferation, angiogenesis and induce cancer cell apoptosis. However, the poor solubility, rapid metabolism and low bioavailability of sorafenib greatly restricted its further clinical application. During the past decade, numerous sorafenib derivatives have been designed and synthesized to overcome its disadvantages and improve its clinical performance. This article focuses on the therapeutic effects and mechanisms of various sorafenib derivatives with modifications on the N-methylpicolinamide group, urea group, central aromatic ring or others. More importantly, this review summarizes the current status of the structure-activity relationship (SAR) of reported sorafenib derivatives, which can provide some detailed information of future directions for further structural modifications of sorafenib to discovery new anti-tumor drugs with improved clinical performance.
|
Inhibition of VEGFR1 (unknown origin)
|
Homo sapiens
|
10.0
nM
|
|
Journal : Eur J Med Chem
Title : Evolution in medicinal chemistry of sorafenib derivatives for hepatocellular carcinoma.
Year : 2019
Volume : 179
First Page : 916
Last Page : 935
Authors : Chen F, Fang Y, Zhao R, Le J, Zhang B, Huang R, Chen Z, Shao J.
Abstract : Hepatocellular carcinoma (HCC) is one of the most common malignant tumors. Traditional chemotherapy drugs are hard to reach a satisfactory therapeutic effect since advanced HCC is highly chemo-resistant. Sorafenib is an oral multikinase inhibitor that can suppress tumor cell proliferation, angiogenesis and induce cancer cell apoptosis. However, the poor solubility, rapid metabolism and low bioavailability of sorafenib greatly restricted its further clinical application. During the past decade, numerous sorafenib derivatives have been designed and synthesized to overcome its disadvantages and improve its clinical performance. This article focuses on the therapeutic effects and mechanisms of various sorafenib derivatives with modifications on the N-methylpicolinamide group, urea group, central aromatic ring or others. More importantly, this review summarizes the current status of the structure-activity relationship (SAR) of reported sorafenib derivatives, which can provide some detailed information of future directions for further structural modifications of sorafenib to discovery new anti-tumor drugs with improved clinical performance.
|
Inhibition of VEGFR3 (unknown origin)
|
Homo sapiens
|
47.0
nM
|
|
Journal : Eur J Med Chem
Title : Evolution in medicinal chemistry of sorafenib derivatives for hepatocellular carcinoma.
Year : 2019
Volume : 179
First Page : 916
Last Page : 935
Authors : Chen F, Fang Y, Zhao R, Le J, Zhang B, Huang R, Chen Z, Shao J.
Abstract : Hepatocellular carcinoma (HCC) is one of the most common malignant tumors. Traditional chemotherapy drugs are hard to reach a satisfactory therapeutic effect since advanced HCC is highly chemo-resistant. Sorafenib is an oral multikinase inhibitor that can suppress tumor cell proliferation, angiogenesis and induce cancer cell apoptosis. However, the poor solubility, rapid metabolism and low bioavailability of sorafenib greatly restricted its further clinical application. During the past decade, numerous sorafenib derivatives have been designed and synthesized to overcome its disadvantages and improve its clinical performance. This article focuses on the therapeutic effects and mechanisms of various sorafenib derivatives with modifications on the N-methylpicolinamide group, urea group, central aromatic ring or others. More importantly, this review summarizes the current status of the structure-activity relationship (SAR) of reported sorafenib derivatives, which can provide some detailed information of future directions for further structural modifications of sorafenib to discovery new anti-tumor drugs with improved clinical performance.
|
Inhibition of RIPK1 in human HT-29 cells assessed as reduction in TNFalpha-induced necroptosis incubated for 14 to 24 hrs in presence of Smac mimetic and z-VAD-FMK by cell titer glo-based luminescence assay
|
Homo sapiens
|
873.0
nM
|
|
Journal : J Med Chem
Title : Small-Molecule Inhibitors of Necroptosis: Current Status and Perspectives.
Year : 2020
Volume : 63
Issue : 4
First Page : 1490
Last Page : 1510
Authors : Zhuang C, Chen F.
Abstract : Necroptosis, an important form of programmed cell death (PCD), is a highly regulated caspase-independent type of cell death that plays a critical role in the pathophysiology of various inflammatory, infectious, and degenerative diseases. Currently, receptor-interacting protein kinase 1 (RIPK1), RIPK3, and mixed lineage kinase domain-like protein (MLKL) have been widely recognized as critical therapeutic targets of the necroptotic machinery. Targeting RIPK1, RIPK3, and/or MLKL is a promising strategy for necroptosis-related diseases. Following the identification of the first RIPK1 inhibitor Nec-1 in 2005, the antinecroptosis field is attracting increasing research interest from multiple disciplines, including the biological and medicinal chemistry communities. Herein, we will review the functions of necroptosis in human diseases, as well as the related targets and representative small-molecule inhibitors, mainly focusing on research articles published during the past 10 years. Outlooks and perspectives on the associated challenges are also discussed.
|
Inhibition of VEGFR2 (unknown origin)
|
Homo sapiens
|
30.0
nM
|
|
Journal : Eur J Med Chem
Title : Design, synthesis and docking study of novel picolinamide derivatives as anticancer agents and VEGFR-2 inhibitors.
Year : 2019
Volume : 168
First Page : 315
Last Page : 329
Authors : Zeidan MA, Mostafa AS, Gomaa RM, Abou-Zeid LA, El-Mesery M, El-Sayed MA, Selim KB.
Abstract : Two series of picolinamide derivatives bearing (thio)urea and dithiocarbamate moieties were designed and synthesized as VEGFR-2 kinase inhibitors. All the new compounds were screened for their cytotoxic activity against A549 cancer cell line and VEGFR-2 inhibitory activity. Compounds 7h, 9a and 9l showed potent inhibitory activity against VEGFR-2 kinase with IC50 values of 87, 27 and 94 nM, respectively in comparison to sorafenib (IC50 = 180 nM) as a reference. Compounds 7h, 9a and 9l were further screened for their antitumor activity against specific resistant human cancer cell lines from different origins (Panc-1, OVCAR-3, HT29 and 786-O cell lines) where compound 7h showed significant cell death in most of them. Multi-kinase inhibition assays were performed for the most potent VEGFR-2 inhibitors where compound 7h showed enhanced potency towards EGFR, HER-2, c-MET and MER kinases. Cell cycle analysis of A549 cells treated with 9a showed cell cycle arrest at G2/M phase and pro-apoptotic activity as indicated by annexin V-FITC staining.
|
SARS-CoV-2 3CL-Pro protease inhibition percentage at 20µM by FRET kind of response from peptide substrate
|
Severe acute respiratory syndrome coronavirus 2
|
16.58
%
|
|
SARS-CoV-2 3CL-Pro protease inhibition percentage at 20µM by FRET kind of response from peptide substrate
|
Severe acute respiratory syndrome coronavirus 2
|
12.94
%
|
|
Title : Identification of inhibitors of SARS-Cov2 M-Pro enzymatic activity using a small molecule repurposing screen
Year : 2020
Authors : Maria Kuzikov, Elisa Costanzi, Jeanette Reinshagen, Francesca Esposito, Laura Vangeel, Markus Wolf, Bernhard Ellinger, Carsten Claussen, Gerd Geisslinger, Angela Corona, Daniela Iaconis, Carmine Talarico, Candida Manelfi, Rolando Cannalire, Giulia Rossetti, Jonas Gossen, Simone Albani, Francesco Musiani, Katja Herzog, Yang Ye, Barbara Giabbai, Nicola Demitri, Dirk Jochmans, Steven De Jonghe, Jasper Rymenants, Vincenzo Summa, Enzo Tramontano, Andrea R. Beccari, Pieter Leyssen, Paola Storici, Johan Neyts, Philip Gribbon, and Andrea Zaliani
Abstract : Compound repurposing is an important strategy being pursued in the identification of effective treatment against the SARS-CoV-2 infection and COVID-19 disease. In this regard, SARS-CoV-2 main protease (M-Pro), also termed 3CL-Pro, is an attractive drug target as it plays a central role in viral replication by processing the viral polyprotein into 11 non-structural proteins. We report the results of a screening campaign involving ca 8.7 K compounds containing marketed drugs, clinical and preclinical candidates, and chemicals regarded as safe in humans. We confirmed previously reported inhibitors of 3CL-Pro, but we have also identified 68 compounds with IC50 lower than 1 uM and 127 compounds with IC50 lower than 5 uM. Profiling showed 67% of confirmed hits were selective (> 5 fold) against other Cys- and Ser- proteases (Chymotrypsin and Cathepsin-L) and MERS 3CL-Pro. Selected compounds were also analysed in their binding characteristics.
|
Antiviral activity determined as inhibition of SARS-CoV-2 induced cytotoxicity of VERO-6 cells at 10 uM after 48 hours exposure to 0.01 MOI SARS CoV-2 virus by high content imaging
|
Chlorocebus sabaeus
|
0.48
%
|
|
Antiviral activity determined as inhibition of SARS-CoV-2 induced cytotoxicity of VERO-6 cells at 10 uM after 48 hours exposure to 0.01 MOI SARS CoV-2 virus by high content imaging
|
Chlorocebus sabaeus
|
0.16
%
|
|
Antiviral activity determined as inhibition of SARS-CoV-2 induced cytotoxicity of VERO-6 cells at 10 uM after 48 hours exposure to 0.01 MOI SARS CoV-2 virus by high content imaging
|
Chlorocebus sabaeus
|
0.48
%
|
|
Antiviral activity determined as inhibition of SARS-CoV-2 induced cytotoxicity of VERO-6 cells at 10 uM after 48 hours exposure to 0.01 MOI SARS CoV-2 virus by high content imaging
|
Chlorocebus sabaeus
|
0.16
%
|
|
Title : Cytopathic SARS-Cov2 screening on VERO-E6 cells in a large repurposing effort
Year : 2020
Authors : Andrea Zaliani, Laura Vangeel, Jeanette Reinshagen, Daniela Iaconis, Maria Kuzikov, Oliver Keminer, Markus Wolf, Bernhard Ellinger, Francesca Esposito, Angela Corona, Enzo Tramontano, Candida Manelfi, Katja Herzog, Dirk Jochmans, Steven De Jonghe, Winston Chiu, Thibault Francken, Joost Schepers, Caroline Collard, Kayvan Abbasi, Carsten Claussen , Vincenzo Summa, Andrea R. Beccari, Johan Neyts, Philip Gribbon and Pieter Leyssen
Abstract : Worldwide, there are intensive efforts to identify repurposed drugs as potential therapies against SARS-CoV-2 infection and the associated COVID-19 disease. To date, the anti-inflammatory drug dexamethasone and (to a lesser extent) the RNA-polymerase inhibitor remdesivir have been shown to be effective in reducing mortality and patient time to recovery, respectively, in patients. Here, we report the results of a phenotypic screening campaign within an EU-funded project (H2020-EXSCALATE4COV) aimed at extending the repertoire of anti-COVID therapeutics through repurposing of available compounds and highlighting compounds with new mechanisms of action against viral infection. We screened 8702 molecules from different repurposing libraries, to reveal 110 compounds with an anti-cytopathic IC50 < 20 µM. From this group, 18 with a safety index greater than 2 are also marketed drugs, making them suitable for further study as potential therapies against COVID-19. Our result supports the idea that a systematic approach to repurposing is a valid strategy to accelerate the necessary drug discovery process.
|
Inhibition of human CA9 preincubated for 15 mins by phenol red dye based stopped flow CO2 hydration assay
|
Homo sapiens
|
9.1
nM
|
|
|
Inhibition of VEGFR2 (unknown origin)
|
Homo sapiens
|
30.0
nM
|
|
|
Inhibition of VEGFR3 (unknown origin)
|
Homo sapiens
|
47.0
nM
|
|
|
Inhibition of PDGFRbeta (unknown origin)
|
Homo sapiens
|
84.0
nM
|
|
|
Inhibition of FGFR1 (unknown origin)
|
Homo sapiens
|
140.0
nM
|
|
|
Inhibition of VEGFR1 (unknown origin)
|
Homo sapiens
|
10.0
nM
|
|
|
Inhibition of FGFR2 (unknown origin)
|
Homo sapiens
|
140.0
nM
|
|
