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SnapDock—template-based docking by Geometric Hashing
MOTIVATION: A highly efficient template-based protein–protein docking algorithm, nicknamed SnapDock, is presented. It employs a Geometric Hashing-based structural alignment scheme to align the target proteins to the interfaces of non-redundant protein–protein interface libraries. Docking of a pair o...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870628/ https://www.ncbi.nlm.nih.gov/pubmed/28881968 http://dx.doi.org/10.1093/bioinformatics/btx233 |
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author | Estrin, Michael Wolfson, Haim J |
author_facet | Estrin, Michael Wolfson, Haim J |
author_sort | Estrin, Michael |
collection | PubMed |
description | MOTIVATION: A highly efficient template-based protein–protein docking algorithm, nicknamed SnapDock, is presented. It employs a Geometric Hashing-based structural alignment scheme to align the target proteins to the interfaces of non-redundant protein–protein interface libraries. Docking of a pair of proteins utilizing the 22 600 interface PIFACE library is performed in < 2 min on the average. A flexible version of the algorithm allowing hinge motion in one of the proteins is presented as well. RESULTS: To evaluate the performance of the algorithm a blind re-modelling of 3547 PDB complexes, which have been uploaded after the PIFACE publication has been performed with success ratio of about 35%. Interestingly, a similar experiment with the template free PatchDock docking algorithm yielded a success rate of about 23% with roughly 1/3 of the solutions different from those of SnapDock. Consequently, the combination of the two methods gave a 42% success ratio. AVAILABILITY AND IMPLEMENTATION: A web server of the application is under development. |
format | Online Article Text |
id | pubmed-5870628 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-58706282018-04-05 SnapDock—template-based docking by Geometric Hashing Estrin, Michael Wolfson, Haim J Bioinformatics Ismb/Eccb 2017: The 25th Annual Conference Intelligent Systems for Molecular Biology Held Jointly with the 16th Annual European Conference on Computational Biology, Prague, Czech Republic, July 21–25, 2017 MOTIVATION: A highly efficient template-based protein–protein docking algorithm, nicknamed SnapDock, is presented. It employs a Geometric Hashing-based structural alignment scheme to align the target proteins to the interfaces of non-redundant protein–protein interface libraries. Docking of a pair of proteins utilizing the 22 600 interface PIFACE library is performed in < 2 min on the average. A flexible version of the algorithm allowing hinge motion in one of the proteins is presented as well. RESULTS: To evaluate the performance of the algorithm a blind re-modelling of 3547 PDB complexes, which have been uploaded after the PIFACE publication has been performed with success ratio of about 35%. Interestingly, a similar experiment with the template free PatchDock docking algorithm yielded a success rate of about 23% with roughly 1/3 of the solutions different from those of SnapDock. Consequently, the combination of the two methods gave a 42% success ratio. AVAILABILITY AND IMPLEMENTATION: A web server of the application is under development. Oxford University Press 2017-07-15 2017-07-12 /pmc/articles/PMC5870628/ /pubmed/28881968 http://dx.doi.org/10.1093/bioinformatics/btx233 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 | Ismb/Eccb 2017: The 25th Annual Conference Intelligent Systems for Molecular Biology Held Jointly with the 16th Annual European Conference on Computational Biology, Prague, Czech Republic, July 21–25, 2017 Estrin, Michael Wolfson, Haim J SnapDock—template-based docking by Geometric Hashing |
title | SnapDock—template-based docking by Geometric Hashing |
title_full | SnapDock—template-based docking by Geometric Hashing |
title_fullStr | SnapDock—template-based docking by Geometric Hashing |
title_full_unstemmed | SnapDock—template-based docking by Geometric Hashing |
title_short | SnapDock—template-based docking by Geometric Hashing |
title_sort | snapdock—template-based docking by geometric hashing |
topic | Ismb/Eccb 2017: The 25th Annual Conference Intelligent Systems for Molecular Biology Held Jointly with the 16th Annual European Conference on Computational Biology, Prague, Czech Republic, July 21–25, 2017 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870628/ https://www.ncbi.nlm.nih.gov/pubmed/28881968 http://dx.doi.org/10.1093/bioinformatics/btx233 |
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