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Bioinformatics. 2011 Dec 1;27(23):3276-85. doi: 10.1093/bioinformatics/btr550. Epub 2011 Oct 3.

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

Author information

1
Departament de FisicoquĂ­mica and Institut de Biomedicina, Universitat de Barcelona, 08028 Barcelona, Spain. pschmidtke@ub.edu

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.

PMID:
21967761
DOI:
10.1093/bioinformatics/btr550
[Indexed for MEDLINE]

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