Literature DB >> 22607878

Identification of novel drug-resistant EGFR mutant inhibitors by in silico screening using comprehensive assessments of protein structures.

Tomohiro Sato1, Hisami Watanabe, Keiko Tsuganezawa, Hitomi Yuki, Junko Mikuni, Seiko Yoshikawa, Mutsuko Kukimoto-Niino, Takako Fujimoto, Yumiko Terazawa, Motoaki Wakiyama, Hirotatsu Kojima, Takayoshi Okabe, Tetsuo Nagano, Mikako Shirouzu, Shigeyuki Yokoyama, Akiko Tanaka, Teruki Honma.   

Abstract

EGFR is a target protein for the treatment of non small cell lung cancer (NSCLC). The mutations associated with the activation of EGFR kinase activity, such as L858R and G719S, destabilize the inactive conformation of EGFR and are closely linked with the development of NSCLC. The additional T790M mutation reportedly causes drug resistance against the commercially available EGFR inhibitors, gefitinib and erlotinib. In this study, we searched for novel G719S/T790M EGFR inhibitors by a new in silico screening strategy, using two datasets. The results of in silico screening using protein-ligand docking are affected by the selection of 3D structure of the target protein. As the first strategy, we chose the 3D structures for in silico screening by test dockings using the G719S/T790M crystal structure, its molecular dynamics snapshots, and known inhibitors of the drug-resistant EGFR. In the second strategy, we selected the 3D structures by test dockings using all of the EGFR structures, regardless of the mutations, and all of the known EGFR inhibitors. Using each of the 3D structures selected by the strategies, 1000 compounds were chosen from the 71,588 compounds. Kinase assays identified 15 G719S/T790M EGFR inhibitors, including two compounds with novel scaffolds. Analyses of their structure-activity relationships revealed that interactions with the mutated Met790 residue specifically increase the inhibitory activity against G719S/T790M EGFR.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22607878     DOI: 10.1016/j.bmc.2012.04.042

Source DB:  PubMed          Journal:  Bioorg Med Chem        ISSN: 0968-0896            Impact factor:   3.641


  4 in total

1.  In silico identification of EGFR-T790M inhibitors with novel scaffolds: start with extraction of common features.

Authors:  Mingli Xiang; Kai Lei; Wenjie Fan; Yuchun Lin; Gu He; Mingli Yang; Lijuan Chen; Yirong Mo
Journal:  Drug Des Devel Ther       Date:  2013-08-14       Impact factor: 4.162

2.  Incorporation of protein flexibility and conformational energy penalties in docking screens to improve ligand discovery.

Authors:  Marcus Fischer; Ryan G Coleman; James S Fraser; Brian K Shoichet
Journal:  Nat Chem       Date:  2014-05-25       Impact factor: 24.427

3.  Molecular designing, virtual screening and docking study of novel curcumin analogue as mutation (S769L and K846R) selective inhibitor for EGFR.

Authors:  Noor Ahmad Shaik; Huda M Al-Kreathy; Ghada M Ajabnoor; Prashant Kumar Verma; Babajan Banaganapalli
Journal:  Saudi J Biol Sci       Date:  2018-05-25       Impact factor: 4.219

4.  Crystal structures of the S6K1 kinase domain in complexes with inhibitors.

Authors:  Hideaki Niwa; Junko Mikuni; Shunta Sasaki; Yuri Tomabechi; Keiko Honda; Mariko Ikeda; Noboru Ohsawa; Motoaki Wakiyama; Noriko Handa; Mikako Shirouzu; Teruki Honma; Akiko Tanaka; Shigeyuki Yokoyama
Journal:  J Struct Funct Genomics       Date:  2014-07-31
  4 in total

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