Literature DB >> 22886372

Modeling loop backbone flexibility in receptor-ligand docking simulations.

Johannes Flick1, Frank Tristram, Wolfgang Wenzel.   

Abstract

The relevance of receptor conformational change during ligand binding is well documented for many pharmaceutically relevant receptors, but is still not fully accounted for in in silico docking methods. While there has been significant progress in treatment of receptor side chain flexibility sampling of backbone flexibility remains challenging because the conformational space expands dramatically and the scoring function must balance protein-protein and protein-ligand contributions. Here, we investigate an efficient multistage backbone reconstruction algorithm for large loop regions in the receptor and demonstrate that treatment of backbone receptor flexibility significantly improves binding mode prediction starting from apo structures and in cross docking simulations. For three different kinase receptors in which large flexible loops reconstruct upon ligand binding, we demonstrate that treatment of backbone flexibility results in accurate models of the complexes in simulations starting from the apo structure. At the example of the DFG-motif in the p38 kinase, we also show how loop reconstruction can be used to model allosteric binding. Our approach thus paves the way to treat the complex process of receptor reconstruction upon ligand binding in docking simulations and may help to design new ligands with high specificity by exploitation of allosteric mechanisms.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22886372     DOI: 10.1002/jcc.23087

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  3 in total

Review 1.  Receptor-ligand molecular docking.

Authors:  Isabella A Guedes; Camila S de Magalhães; Laurent E Dardenne
Journal:  Biophys Rev       Date:  2013-12-21

2.  Accurate calculation of mutational effects on the thermodynamics of inhibitor binding to p38α MAP kinase: a combined computational and experimental study.

Authors:  Shun Zhu; Sue M Travis; Adrian H Elcock
Journal:  J Chem Theory Comput       Date:  2013-07-09       Impact factor: 6.006

3.  A selective method for optimizing ensemble docking-based experiments on an InhA Fully-Flexible receptor model.

Authors:  Renata De Paris; Christian Vahl Quevedo; Duncan D Ruiz; Furia Gargano; Osmar Norberto de Souza
Journal:  BMC Bioinformatics       Date:  2018-06-22       Impact factor: 3.169

  3 in total

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