Journal ArticleDOI
A small molecule-kinase interaction map for clinical kinase inhibitors.
Miles A. Fabian,William H. Biggs,Daniel K. Treiber,Corey E. Atteridge,Mihai Azimioara,Mihai Azimioara,Michael G. Benedetti,Michael G. Benedetti,Todd A. Carter,Pietro Ciceri,Philip T. Edeen,Mark Floyd,Julia M. Ford,Margaret Galvin,Jay L Gerlach,Jay L Gerlach,Robert M. Grotzfeld,Sanna Herrgard,Darren E. Insko,Michael A Insko,Andiliy G. Lai,Jean-Michel Lélias,Shamal A. Mehta,Zdravko V. Milanov,Anne Marie Velasco,Lisa M. Wodicka,Hitesh K. Patel,Patrick P. Zarrinkar,David J. Lockhart +28 more
TLDR
An efficient way to determine kinase inhibitor specificity by measuring binding of small molecules to the ATP site of kinases is described, which represents a systematic small molecule-protein interaction map for clinical compounds across a large number of related proteins.Abstract:
Kinase inhibitors show great promise as a new class of therapeutics. Here we describe an efficient way to determine kinase inhibitor specificity by measuring binding of small molecules to the ATP site of kinases. We have profiled 20 kinase inhibitors, including 16 that are approved drugs or in clinical development, against a panel of 119 protein kinases. We find that specificity varies widely and is not strongly correlated with chemical structure or the identity of the intended target. Many novel interactions were identified, including tight binding of the p38 inhibitor BIRB-796 to an imatinib-resistant variant of the ABL kinase, and binding of imatinib to the SRC-family kinase LCK. We also show that mutations in the epidermal growth factor receptor (EGFR) found in gefitinib-responsive patients do not affect the binding affinity of gefitinib or erlotinib. Our results represent a systematic small molecule-protein interaction map for clinical compounds across a large number of related proteins.read more
Citations
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Journal ArticleDOI
How many drug targets are there
TL;DR: A consensus number of current drug targets for all classes of approved therapeutic drugs is proposed, and an emerging realization of the importance of polypharmacology and also the power of a gene-family-led approach in generating novel and important therapies is highlighted.
Journal ArticleDOI
Network pharmacology: the next paradigm in drug discovery.
TL;DR: A new appreciation of the role of polypharmacology has significant implications for tackling the two major sources of attrition in drug development--efficacy and toxicity.
Journal ArticleDOI
Epidermal growth factor receptor mutations in lung cancer
TL;DR: 'oncogenic shock' is described as a mechanistic explanation for the apoptosis that follows the acute treatment of susceptible cells with kinase inhibitors, essential to the successful use of targeted therapies in common epithelial cancers.
Journal ArticleDOI
Targeting cancer with small molecule kinase inhibitors
TL;DR: This Review provides a broad overview of some of the approaches currently used to discover and characterize new kinase inhibitors, and discusses the current challenges in the field.
Journal ArticleDOI
A quantitative analysis of kinase inhibitor selectivity.
Mazen W. Karaman,Sanna Herrgard,Daniel K. Treiber,Paul Gallant,Corey E. Atteridge,Brian T. Campbell,Katrina W Chan,Pietro Ciceri,Mindy I. Davis,Philip T. Edeen,Raffaella Faraoni,Mark Floyd,Jeremy P. Hunt,Daniel J Lockhart,Zdravko V. Milanov,Michael J Morrison,Gabriel Pallares,Hitesh K. Patel,Stephanie Pritchard,Stephanie Pritchard,Lisa M. Wodicka,Patrick P. Zarrinkar +21 more
TL;DR: This work presents interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome and introduces the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns.
References
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Journal ArticleDOI
Activating mutations in the epidermal growth factor receptor underlying responsiveness of non-small-cell lung cancer to gefitinib
Thomas J. Lynch,Daphne W. Bell,Raffaella Sordella,Sarada Gurubhagavatula,Ross A. Okimoto,Brian W. Brannigan,Patricia L. Harris,Sara M. Haserlat,Jeffrey G. Supko,Frank G. Haluska,David N. Louis,David C. Christiani,Jeff Settleman,Daniel A. Haber +13 more
TL;DR: A subgroup of patients with non-small-cell lung cancer have specific mutations in the EGFR gene which correlate with clinical responsiveness to the tyrosine kinase inhibitor gefitinib, and these mutations lead to increased growth factor signaling and confer susceptibility to the inhibitor.
Journal ArticleDOI
EGFR mutations in lung cancer: correlation with clinical response to gefitinib therapy.
J. Guillermo Paez,Pasi A. Jänne,Pasi A. Jänne,Jeffrey C. Lee,Sean Tracy,Heidi Greulich,Heidi Greulich,Stacey Gabriel,Paula Herman,Frederic J. Kaye,Neal I. Lindeman,Titus J. Boggon,Katsuhiko Naoki,Hidefumini Sasaki,Yoshitaka Fujii,Michael J. Eck,William R. Sellers,William R. Sellers,William R. Sellers,Bruce E. Johnson,Bruce E. Johnson,Matthew Meyerson,Matthew Meyerson +22 more
TL;DR: Results suggest that EGFR mutations may predict sensitivity to gefitinib, and treatment with the EGFR kinase inhibitor gefitsinib causes tumor regression in some patients with NSCLC, more frequently in Japan.
Journal ArticleDOI
The Protein Kinase Complement of the Human Genome
TL;DR: The protein kinase complement of the human genome is catalogued using public and proprietary genomic, complementary DNA, and expressed sequence tag sequences to provide a starting point for comprehensive analysis of protein phosphorylation in normal and disease states and a detailed view of the current state of human genome analysis through a focus on one large gene family.
Journal ArticleDOI
Specificity and mechanism of action of some commonly used protein kinase inhibitors
TL;DR: The results demonstrate that the specificities of protein kinase inhibitors cannot be assessed simply by studying their effect on kinases that are closely related in primary structure, and proposes guidelines for the use of protein Kinase inhibitors in cell-based assays.
Journal ArticleDOI
EGF receptor gene mutations are common in lung cancers from “never smokers” and are associated with sensitivity of tumors to gefitinib and erlotinib
William Pao,Vincent A. Miller,Maureen F. Zakowski,Jennifer Doherty,Katerina Politi,Inderpal S. Sarkaria,Bhuvanesh Singh,Robert T. Heelan,Valerie W. Rusch,Lucinda Fulton,Elaine R. Mardis,Doris M. Kupfer,Richard K. Wilson,Mark G. Kris,Harold E. Varmus +14 more
TL;DR: Data show that adenocarcinomas from never smokers comprise a distinct subset of lung cancers, frequently containing mutations within the TK domain of EGFR that are associated with gefitinib and erlotinib sensitivity.
Related Papers (5)
A quantitative analysis of kinase inhibitor selectivity.
Mazen W. Karaman,Sanna Herrgard,Daniel K. Treiber,Paul Gallant,Corey E. Atteridge,Brian T. Campbell,Katrina W Chan,Pietro Ciceri,Mindy I. Davis,Philip T. Edeen,Raffaella Faraoni,Mark Floyd,Jeremy P. Hunt,Daniel J Lockhart,Zdravko V. Milanov,Michael J Morrison,Gabriel Pallares,Hitesh K. Patel,Stephanie Pritchard,Stephanie Pritchard,Lisa M. Wodicka,Patrick P. Zarrinkar +21 more