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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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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 |
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author | Nadalin, Francesca Carbone, Alessandra |
author_facet | Nadalin, Francesca Carbone, Alessandra |
author_sort | Nadalin, Francesca |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5860360 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-58603602018-03-21 Protein–protein interaction specificity is captured by contact preferences and interface composition Nadalin, Francesca Carbone, Alessandra Bioinformatics Original Papers 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. Oxford University Press 2018-02-01 2017-09-22 /pmc/articles/PMC5860360/ /pubmed/29028884 http://dx.doi.org/10.1093/bioinformatics/btx584 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Papers Nadalin, Francesca Carbone, Alessandra Protein–protein interaction specificity is captured by contact preferences and interface composition |
title | Protein–protein interaction specificity is captured by contact preferences and interface composition |
title_full | Protein–protein interaction specificity is captured by contact preferences and interface composition |
title_fullStr | Protein–protein interaction specificity is captured by contact preferences and interface composition |
title_full_unstemmed | Protein–protein interaction specificity is captured by contact preferences and interface composition |
title_short | Protein–protein interaction specificity is captured by contact preferences and interface composition |
title_sort | protein–protein interaction specificity is captured by contact preferences and interface composition |
topic | Original Papers |
url | 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 |
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