Protein-protein interaction specificity is captured by contact preferences and interface composition.
Ontology highlight
ABSTRACT: Motivation:Large-scale computational docking will be increasingly used in future years to discriminate protein-protein interactions at the residue resolution. Complete cross-docking experiments make in silico reconstruction of protein-protein interaction networks a feasible goal. They ask for efficient and accurate screening of the millions structural conformations issued by the calculations. Results:We propose CIPS (Combined Interface Propensity for decoy Scoring), a new pair potential combining interface composition with residue-residue contact preference. CIPS outperforms several other methods on screening docking solutions obtained either with all-atom or with coarse-grain rigid docking. Further testing on 28 CAPRI targets corroborates CIPS predictive power over existing methods. By combining CIPS with atomic potentials, discrimination of correct conformations in all-atom structures reaches optimal accuracy. The drastic reduction of candidate solutions produced by thousands of proteins docked against each other makes large-scale docking accessible to analysis. Availability and implementation:CIPS source code is freely available at http://www.lcqb.upmc.fr/CIPS. Contact:alessandra.carbone@lip6.fr. Supplementary information:Supplementary data are available at Bioinformatics online.
SUBMITTER: Nadalin F
PROVIDER: S-EPMC5860360 | biostudies-literature | 2018 Feb
REPOSITORIES: biostudies-literature
ACCESS DATA