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Protein—protein binding supersites

The lack of a deep understanding of how proteins interact remains an important roadblock in advancing efforts to identify binding partners and uncover the corresponding regulatory mechanisms of the functions they mediate. Understanding protein-protein interactions is also essential for designing spe...

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Autores principales: Viswanathan, Raji, Fajardo, Eduardo, Steinberg, Gabriel, Haller, Matthew, Fiser, Andras
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6336348/
https://www.ncbi.nlm.nih.gov/pubmed/30615604
http://dx.doi.org/10.1371/journal.pcbi.1006704
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author Viswanathan, Raji
Fajardo, Eduardo
Steinberg, Gabriel
Haller, Matthew
Fiser, Andras
author_facet Viswanathan, Raji
Fajardo, Eduardo
Steinberg, Gabriel
Haller, Matthew
Fiser, Andras
author_sort Viswanathan, Raji
collection PubMed
description The lack of a deep understanding of how proteins interact remains an important roadblock in advancing efforts to identify binding partners and uncover the corresponding regulatory mechanisms of the functions they mediate. Understanding protein-protein interactions is also essential for designing specific chemical modifications to develop new reagents and therapeutics. We explored the hypothesis of whether protein interaction sites serve as generic biding sites for non-cognate protein ligands, just as it has been observed for small-molecule-binding sites in the past. Using extensive computational docking experiments on a test set of 241 protein complexes, we found that indeed there is a strong preference for non-cognate ligands to bind to the cognate binding site of a receptor. This observation appears to be robust to variations in docking programs, types of non-cognate protein probes, sizes of binding patches, relative sizes of binding patches and full-length proteins, and the exploration of obligate and non-obligate complexes. The accuracy of the docking scoring function appears to play a role in defining the correct site. The frequency of interaction of unrelated probes recognizing the binding interface was utilized in a simple prediction algorithm that showed accuracy competitive with other state of the art methods.
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spelling pubmed-63363482019-01-30 Protein—protein binding supersites Viswanathan, Raji Fajardo, Eduardo Steinberg, Gabriel Haller, Matthew Fiser, Andras PLoS Comput Biol Research Article The lack of a deep understanding of how proteins interact remains an important roadblock in advancing efforts to identify binding partners and uncover the corresponding regulatory mechanisms of the functions they mediate. Understanding protein-protein interactions is also essential for designing specific chemical modifications to develop new reagents and therapeutics. We explored the hypothesis of whether protein interaction sites serve as generic biding sites for non-cognate protein ligands, just as it has been observed for small-molecule-binding sites in the past. Using extensive computational docking experiments on a test set of 241 protein complexes, we found that indeed there is a strong preference for non-cognate ligands to bind to the cognate binding site of a receptor. This observation appears to be robust to variations in docking programs, types of non-cognate protein probes, sizes of binding patches, relative sizes of binding patches and full-length proteins, and the exploration of obligate and non-obligate complexes. The accuracy of the docking scoring function appears to play a role in defining the correct site. The frequency of interaction of unrelated probes recognizing the binding interface was utilized in a simple prediction algorithm that showed accuracy competitive with other state of the art methods. Public Library of Science 2019-01-07 /pmc/articles/PMC6336348/ /pubmed/30615604 http://dx.doi.org/10.1371/journal.pcbi.1006704 Text en © 2019 Viswanathan et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Viswanathan, Raji
Fajardo, Eduardo
Steinberg, Gabriel
Haller, Matthew
Fiser, Andras
Protein—protein binding supersites
title Protein—protein binding supersites
title_full Protein—protein binding supersites
title_fullStr Protein—protein binding supersites
title_full_unstemmed Protein—protein binding supersites
title_short Protein—protein binding supersites
title_sort protein—protein binding supersites
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6336348/
https://www.ncbi.nlm.nih.gov/pubmed/30615604
http://dx.doi.org/10.1371/journal.pcbi.1006704
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