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Detalle de: FRODOCK: A new approach for fast rotational protein-protein docking

Title FRODOCK: A new approach for fast rotational protein-protein docking
Abstract

Motivation: Prediction of protein–protein complexes from the coordinates of their unbound components usually starts by generating many potential predictions from a rigid-body 6D search followed by a second stage that aims to refine such predictions. Here, we present and evaluate a new method to effectively address the complexity and sampling requirements of the initial exhaustive search. In this approach we combine the projection of the interaction terms into 3D grid-based potentials with the efficiency of spherical harmonics approximations to accelerate the search. The binding energy upon complex formation is approximated as a correlation function composed of van der Waals, electrostatics and desolvation potential terms. The interaction-energy minima are identified by a novel, fast and exhaustive rotational docking search combined with a simple translational scanning. Results obtained on standard protein–protein benchmarks demonstrate its general applicability and robustness. The accuracy is comparable to that of existing state-of-the-art initial exhaustive rigid-body docking tools, but achieving superior efficiency. Moreover, a parallel version of the method performs the docking search in just a few minutes, opening new application opportunities in the current ‘omics’ world. Availability: http://sbg.cib.csic.es/Software/FRODOCK/ Contact: Pablo@cib.csic.es Supplementary information: Supplementary data are available at Bioinformatics online.

Apa Reference Garzon, J. I., Lopéz-Blanco, J. R., Pons, C., Kovacs, J., Abagyan, R., Fernandez-Recio, J., & Chacon, P. (2009). FRODOCK: a new approach for fast rotational protein–protein docking. Bioinformatics, 25(19), 2544–2551. 10.1093/bioinformatics/btp447
Doi 10.1093/bioinformatics/btp447
Publication Date 20 Jul 2009
Publication Type Article
Researcher Juan Fernández Recio
Ontology Omics
Research Groups Structural Bioinformatics
Tools

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