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Template-based protein–protein docking exploiting pairwise interfacial residue restraints

Although many advanced and sophisticated ab initio approaches for modeling protein–protein complexes have been proposed in past decades, template-based modeling (TBM) remains the most accurate and widely used approach, given a reliable template is available. However, there are many different ways to...

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Autores principales: Xue, Li C, Rodrigues, João P G L M, Dobbs, Drena, Honavar, Vasant, Bonvin, Alexandre M J J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5428999/
https://www.ncbi.nlm.nih.gov/pubmed/27013645
http://dx.doi.org/10.1093/bib/bbw027
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author Xue, Li C
Rodrigues, João P G L M
Dobbs, Drena
Honavar, Vasant
Bonvin, Alexandre M J J
author_facet Xue, Li C
Rodrigues, João P G L M
Dobbs, Drena
Honavar, Vasant
Bonvin, Alexandre M J J
author_sort Xue, Li C
collection PubMed
description Although many advanced and sophisticated ab initio approaches for modeling protein–protein complexes have been proposed in past decades, template-based modeling (TBM) remains the most accurate and widely used approach, given a reliable template is available. However, there are many different ways to exploit template information in the modeling process. Here, we systematically evaluate and benchmark a TBM method that uses conserved interfacial residue pairs as docking distance restraints [referred to as alpha carbon–alpha carbon (CA-CA)-guided docking]. We compare it with two other template-based protein–protein modeling approaches, including a conserved non-pairwise interfacial residue restrained docking approach [referred to as the ambiguous interaction restraint (AIR)-guided docking] and a simple superposition-based modeling approach. Our results show that, for most cases, the CA-CA-guided docking method outperforms both superposition with refinement and the AIR-guided docking method. We emphasize the superiority of the CA-CA-guided docking on cases with medium to large conformational changes, and interactions mediated through loops, tails or disordered regions. Our results also underscore the importance of a proper refinement of superimposition models to reduce steric clashes. In summary, we provide a benchmarked TBM protocol that uses conserved pairwise interface distance as restraints in generating realistic 3D protein–protein interaction models, when reliable templates are available. The described CA-CA-guided docking protocol is based on the HADDOCK platform, which allows users to incorporate additional prior knowledge of the target system to further improve the quality of the resulting models.
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spelling pubmed-54289992017-05-17 Template-based protein–protein docking exploiting pairwise interfacial residue restraints Xue, Li C Rodrigues, João P G L M Dobbs, Drena Honavar, Vasant Bonvin, Alexandre M J J Brief Bioinform Papers Although many advanced and sophisticated ab initio approaches for modeling protein–protein complexes have been proposed in past decades, template-based modeling (TBM) remains the most accurate and widely used approach, given a reliable template is available. However, there are many different ways to exploit template information in the modeling process. Here, we systematically evaluate and benchmark a TBM method that uses conserved interfacial residue pairs as docking distance restraints [referred to as alpha carbon–alpha carbon (CA-CA)-guided docking]. We compare it with two other template-based protein–protein modeling approaches, including a conserved non-pairwise interfacial residue restrained docking approach [referred to as the ambiguous interaction restraint (AIR)-guided docking] and a simple superposition-based modeling approach. Our results show that, for most cases, the CA-CA-guided docking method outperforms both superposition with refinement and the AIR-guided docking method. We emphasize the superiority of the CA-CA-guided docking on cases with medium to large conformational changes, and interactions mediated through loops, tails or disordered regions. Our results also underscore the importance of a proper refinement of superimposition models to reduce steric clashes. In summary, we provide a benchmarked TBM protocol that uses conserved pairwise interface distance as restraints in generating realistic 3D protein–protein interaction models, when reliable templates are available. The described CA-CA-guided docking protocol is based on the HADDOCK platform, which allows users to incorporate additional prior knowledge of the target system to further improve the quality of the resulting models. Oxford University Press 2017-05 2016-03-24 /pmc/articles/PMC5428999/ /pubmed/27013645 http://dx.doi.org/10.1093/bib/bbw027 Text en © The Author 2016. 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 Papers
Xue, Li C
Rodrigues, João P G L M
Dobbs, Drena
Honavar, Vasant
Bonvin, Alexandre M J J
Template-based protein–protein docking exploiting pairwise interfacial residue restraints
title Template-based protein–protein docking exploiting pairwise interfacial residue restraints
title_full Template-based protein–protein docking exploiting pairwise interfacial residue restraints
title_fullStr Template-based protein–protein docking exploiting pairwise interfacial residue restraints
title_full_unstemmed Template-based protein–protein docking exploiting pairwise interfacial residue restraints
title_short Template-based protein–protein docking exploiting pairwise interfacial residue restraints
title_sort template-based protein–protein docking exploiting pairwise interfacial residue restraints
topic Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5428999/
https://www.ncbi.nlm.nih.gov/pubmed/27013645
http://dx.doi.org/10.1093/bib/bbw027
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