Literature DB >> 18404149

High-throughput kinase profiling as a platform for drug discovery.

David M Goldstein1, Nathanael S Gray, Patrick P Zarrinkar.   

Abstract

To fully exploit the potential of kinases as drug targets, novel strategies for the efficient discovery of inhibitors are required. In contrast to the traditional, linear process of inhibitor discovery, high-throughput kinase profiling enables a parallel approach by interrogating compounds against hundreds of targets in a single screen. Compound potency and selectivity are determined simultaneously, providing a choice of targets to pursue that is guided by the quality of lead compounds available, rather than by target biology alone.

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Year:  2008        PMID: 18404149     DOI: 10.1038/nrd2541

Source DB:  PubMed          Journal:  Nat Rev Drug Discov        ISSN: 1474-1776            Impact factor:   84.694


  76 in total

1.  Comprehensive analysis of kinase inhibitor selectivity.

Authors:  Mindy I Davis; Jeremy P Hunt; Sanna Herrgard; Pietro Ciceri; Lisa M Wodicka; Gabriel Pallares; Michael Hocker; Daniel K Treiber; Patrick P Zarrinkar
Journal:  Nat Biotechnol       Date:  2011-10-30       Impact factor: 54.908

Review 2.  Functional proteomics to dissect tyrosine kinase signalling pathways in cancer.

Authors:  Walter Kolch; Andrew Pitt
Journal:  Nat Rev Cancer       Date:  2010-08-19       Impact factor: 60.716

3.  Computational Modeling of Kinase Inhibitor Selectivity.

Authors:  Govindan Subramanian; Manish Sud
Journal:  ACS Med Chem Lett       Date:  2010-07-28       Impact factor: 4.345

4.  How chemoproteomics can enable drug discovery and development.

Authors:  Raymond E Moellering; Benjamin F Cravatt
Journal:  Chem Biol       Date:  2012-01-27

5.  A non-covalent inhibitor XMU-MP-3 overrides ibrutinib-resistant BtkC481S mutation in B-cell malignancies.

Authors:  Fu Gui; Jie Jiang; Zhixiang He; Li Li; Yunzhan Li; Zhou Deng; Yue Lu; Xinrui Wu; Guyue Chen; Jingyi Su; Siyang Song; Yue-Ming Zhang; Cai-Hong Yun; Xin Huang; Ellen Weisberg; Jianming Zhang; Xianming Deng
Journal:  Br J Pharmacol       Date:  2019-12-09       Impact factor: 8.739

6.  Measuring and interpreting the selectivity of protein kinase inhibitors.

Authors:  Lynette A Smyth; Ian Collins
Journal:  J Chem Biol       Date:  2009-06-06

Review 7.  Protein methyltransferases as a target class for drug discovery.

Authors:  Robert A Copeland; Michael E Solomon; Victoria M Richon
Journal:  Nat Rev Drug Discov       Date:  2009-09       Impact factor: 84.694

Review 8.  Malaria biology and disease pathogenesis: insights for new treatments.

Authors:  Louis H Miller; Hans C Ackerman; Xin-zhuan Su; Thomas E Wellems
Journal:  Nat Med       Date:  2013-02-06       Impact factor: 53.440

9.  Kinome-wide activity modeling from diverse public high-quality data sets.

Authors:  Stephan C Schürer; Steven M Muskal
Journal:  J Chem Inf Model       Date:  2013-01-09       Impact factor: 4.956

10.  Detection of treatment-induced changes in signaling pathways in gastrointestinal stromal tumors using transcriptomic data.

Authors:  Michael F Ochs; Lori Rink; Chi Tarn; Sarah Mburu; Takahiro Taguchi; Burton Eisenberg; Andrew K Godwin
Journal:  Cancer Res       Date:  2009-11-10       Impact factor: 12.701

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