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DARS (Decoys As the Reference State) potentials for protein-protein docking.
Chuang, Gwo-Yu; Kozakov, Dima; Brenke, Ryan; Comeau, Stephen R; Vajda, Sandor.
Afiliação
  • Chuang GY; Department of Biomedical Engineering, and Program in Bioinformatics, Boston University, Boston, Massachusetts, USA.
Biophys J ; 95(9): 4217-27, 2008 Nov 01.
Article em En | MEDLINE | ID: mdl-18676649
Decoys As the Reference State (DARS) is a simple and natural approach to the construction of structure-based intermolecular potentials. The idea is generating a large set of docked conformations with good shape complementarity but without accounting for atom types, and using the frequency of interactions extracted from these decoys as the reference state. In principle, the resulting potential is ideal for finding near-native conformations among structures obtained by docking, and can be combined with other energy terms to be used directly in docking calculations. We investigated the performance of various DARS versions for docking enzyme-inhibitor, antigen-antibody, and other type of complexes. For enzyme-inhibitor pairs, DARS provides both excellent discrimination and docking results, even with very small decoy sets. For antigen-antibody complexes, DARS is slightly better than a number of interaction potentials tested, but results are worse than for enzyme-inhibitor complexes. With a few exceptions, the DARS docking results are also good for the other complexes, despite poor discrimination, and we show that the latter is not a correct test for docking accuracy. The analysis of interactions in antigen-antibody pairs reveals that, in constructing pairwise potentials for such complexes, one should account for the asymmetry of hydrophobic patches on the two sides of the interface. Similar asymmetry does occur in the few other complexes with poor DARS docking results.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Moleculares Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2008 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Moleculares Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2008 Tipo de documento: Article