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Protein–protein interaction specificity is captured by contact preferences and interface composition

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 effic...

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Detalles Bibliográficos
Autores principales: Nadalin, Francesca, Carbone, Alessandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860360/
https://www.ncbi.nlm.nih.gov/pubmed/29028884
http://dx.doi.org/10.1093/bioinformatics/btx584
Descripción
Sumario: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. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.