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.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860360 | PMC |
http://dx.doi.org/10.1093/bioinformatics/btx584 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!