| Literature DB >> 19620099 |
José Ignacio Garzon1, José Ramón Lopéz-Blanco, Carles Pons, Julio Kovacs, Ruben Abagyan, Juan Fernandez-Recio, Pablo Chacon.
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/Mesh:
Substances:
Year: 2009 PMID: 19620099 PMCID: PMC2800348 DOI: 10.1093/bioinformatics/btp447
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937