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Exploring c‐Met kinase flexibility by sampling and clustering its conformational space
Author(s) -
Asses Yasmine,
Venkatraman Vishwesh,
Leroux Vincent,
Ritchie David W.,
Maigret Bernard
Publication year - 2012
Publication title -
proteins: structure, function, and bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.699
H-Index - 191
eISSN - 1097-0134
pISSN - 0887-3585
DOI - 10.1002/prot.24021
Subject(s) - computational biology , virtual screening , computer science , drug discovery , flexibility (engineering) , in silico , kinase , docking (animal) , pipeline (software) , biology , bioinformatics , biochemistry , medicine , mathematics , statistics , nursing , gene , programming language
It is now widely recognized that the flexibility of both partners has to be considered in molecular docking studies. However, the question how to handle the best the huge computational complexity of exploring the protein binding site landscape is still a matter of debate. Here we investigate the flexibility of c‐Met kinase as a test case for comparing several simulation methods. The c‐Met kinase catalytic site is an interesting target for anticancer drug design. In particular, it harbors an unusual plasticity compared with other kinases ATP binding sites. Exploiting this feature may eventually lead to the discovery of new anticancer agents with exquisite specificity. We present in this article an extensive investigation of c‐Met kinase conformational space using large‐scale computational simulations in order to extend the knowledge already gathered from available X‐ray structures. In the process, we compare the relevance of different strategies for modeling and injecting receptor flexibility information into early stage in silico structure‐based drug discovery pipeline. The results presented here are currently being exploited in on‐going virtual screening investigations on c‐Met. Proteins 2012;. © 2011 Wiley Periodicals, Inc.