Literature DB >> 21967761

MDpocket: open-source cavity detection and characterization on molecular dynamics trajectories.

Peter Schmidtke1, Axel Bidon-Chanal, F Javier Luque, Xavier Barril.   

Abstract

MOTIVATION: A variety of pocket detection algorithms are now freely or commercially available to the scientific community for the analysis of static protein structures. However, since proteins are dynamic entities, enhancing the capabilities of these programs for the straightforward detection and characterization of cavities taking into account protein conformational ensembles should be valuable for capturing the plasticity of pockets, and therefore allow gaining insight into structure-function relationships.
RESULTS: This article describes a new method, called MDpocket, providing a fast, free and open-source tool for tracking small molecule binding sites and gas migration pathways on molecular dynamics (MDs) trajectories or other conformational ensembles. MDpocket is based on the fpocket cavity detection algorithm and a valuable contribution to existing analysis tools. The capabilities of MDpocket are illustrated for three relevant cases: (i) the detection of transient subpockets using an ensemble of crystal structures of HSP90; (ii) the detection of known xenon binding sites and migration pathways in myoglobin; and (iii) the identification of suitable pockets for molecular docking in P38 Map kinase. AVAILABILITY: MDpocket is free and open-source software and can be downloaded at http://fpocket.sourceforge.net. CONTACT: pschmidtke@ub.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

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Year:  2011        PMID: 21967761     DOI: 10.1093/bioinformatics/btr550

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  91 in total

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