Literature DB >> 22503441

Structural approaches to obtain kinase selectivity.

Richard A Norman1, Dorin Toader, Andrew D Ferguson.   

Abstract

One of the grand challenges in kinase drug discovery is the design of small-molecule inhibitors with selectivity profiles that will ultimately be efficacious in the clinic. Current medicinal chemistry strategies make heavy use of structural, biophysical and computational approaches to achieve this multi-faceted goal. Here we review structure-based approaches underlying the development of several molecules that are currently in clinical trials, including the cMet inhibitor ARQ197 and the Bcr-Abl inhibitor ponatinib. We highlight the challenge posed by the emergence of resistance mutants and discuss promising lead generation strategies to obtain selective inhibitors of protein and lipid kinases such as targeting of specific sites, the use of fragment-based approaches and new chemical probes based on metal complexes.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22503441     DOI: 10.1016/j.tips.2012.03.005

Source DB:  PubMed          Journal:  Trends Pharmacol Sci        ISSN: 0165-6147            Impact factor:   14.819


  22 in total

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2.  All-atomic molecular dynamic studies of human CDK8: insight into the A-loop, point mutations and binding with its partner CycC.

Authors:  Wu Xu; Benjamin Amire-Brahimi; Xiao-Jun Xie; Liying Huang; Jun-Yuan Ji
Journal:  Comput Biol Chem       Date:  2014-04-03       Impact factor: 2.877

Review 3.  The two faces of Hippo: targeting the Hippo pathway for regenerative medicine and cancer treatment.

Authors:  Randy Johnson; Georg Halder
Journal:  Nat Rev Drug Discov       Date:  2013-12-13       Impact factor: 84.694

4.  Illuminating the molecular mechanisms of tyrosine kinase inhibitor resistance for the FGFR1 gatekeeper mutation: the Achilles' heel of targeted therapy.

Authors:  Christal D Sohl; Molly R Ryan; BeiBei Luo; Kathleen M Frey; Karen S Anderson
Journal:  ACS Chem Biol       Date:  2015-02-24       Impact factor: 5.100

5.  Data Mining and Computational Modeling of High-Throughput Screening Datasets.

Authors:  Sean Ekins; Alex M Clark; Krishna Dole; Kellan Gregory; Andrew M Mcnutt; Anna Coulon Spektor; Charlie Weatherall; Nadia K Litterman; Barry A Bunin
Journal:  Methods Mol Biol       Date:  2018

Review 6.  Vemurafenib: the first drug approved for BRAF-mutant cancer.

Authors:  Gideon Bollag; James Tsai; Jiazhong Zhang; Chao Zhang; Prabha Ibrahim; Keith Nolop; Peter Hirth
Journal:  Nat Rev Drug Discov       Date:  2012-10-12       Impact factor: 84.694

Review 7.  Discoidin domain receptor 1 (DDR1) kinase as target for structure-based drug discovery.

Authors:  Sandeepkumar Kothiwale; Corina M Borza; Edward W Lowe; Ambra Pozzi; Jens Meiler
Journal:  Drug Discov Today       Date:  2014-10-07       Impact factor: 7.851

8.  Structural and dynamic insights into the energetics of activation loop rearrangement in FGFR1 kinase.

Authors:  Tobias Klein; Navratna Vajpai; Jonathan J Phillips; Gareth Davies; Geoffrey A Holdgate; Chris Phillips; Julie A Tucker; Richard A Norman; Andrew D Scott; Daniel R Higazi; David Lowe; Gary S Thompson; Alexander L Breeze
Journal:  Nat Commun       Date:  2015-07-23       Impact factor: 14.919

9.  Are phylogenetic trees suitable for chemogenomics analyses of bioactivity data sets: the importance of shared active compounds and choosing a suitable data embedding method, as exemplified on Kinases.

Authors:  Shardul Paricharak; Tom Klenka; Martin Augustin; Umesh A Patel; Andreas Bender
Journal:  J Cheminform       Date:  2013-12-13       Impact factor: 5.514

10.  KIDFamMap: a database of kinase-inhibitor-disease family maps for kinase inhibitor selectivity and binding mechanisms.

Authors:  Yi-Yuan Chiu; Chih-Ta Lin; Jhang-Wei Huang; Kai-Cheng Hsu; Jen-Hu Tseng; Syuan-Ren You; Jinn-Moon Yang
Journal:  Nucleic Acids Res       Date:  2012-11-28       Impact factor: 16.971

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