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pyDockSAXS: protein–protein complex structure by SAXS and computational docking
Structural characterization of protein–protein interactions at molecular level is essential to understand biological processes and identify new therapeutic opportunities. However, atomic resolution structural techniques cannot keep pace with current advances in interactomics. Low-resolution structur...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4489248/ https://www.ncbi.nlm.nih.gov/pubmed/25897115 http://dx.doi.org/10.1093/nar/gkv368 |
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author | Jiménez-García, Brian Pons, Carles Svergun, Dmitri I. Bernadó, Pau Fernández-Recio, Juan |
author_facet | Jiménez-García, Brian Pons, Carles Svergun, Dmitri I. Bernadó, Pau Fernández-Recio, Juan |
author_sort | Jiménez-García, Brian |
collection | PubMed |
description | Structural characterization of protein–protein interactions at molecular level is essential to understand biological processes and identify new therapeutic opportunities. However, atomic resolution structural techniques cannot keep pace with current advances in interactomics. Low-resolution structural techniques, such as small-angle X-ray scattering (SAXS), can be applied at larger scale, but they miss atomic details. For efficient application to protein–protein complexes, low-resolution information can be combined with theoretical methods that provide energetic description and atomic details of the interactions. Here we present the pyDockSAXS web server (http://life.bsc.es/pid/pydocksaxs) that provides an automatic pipeline for modeling the structure of a protein–protein complex from SAXS data. The method uses FTDOCK to generate rigid-body docking models that are subsequently evaluated by a combination of pyDock energy-based scoring function and their capacity to describe SAXS data. The only required input files are structural models for the interacting partners and a SAXS curve. The server automatically provides a series of structural models for the complex, sorted by the pyDockSAXS scoring function. The user can also upload a previously computed set of docking poses, which opens the possibility to filter the docking solutions by potential interface residues or symmetry restraints. The server is freely available to all users without restriction. |
format | Online Article Text |
id | pubmed-4489248 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-44892482015-07-07 pyDockSAXS: protein–protein complex structure by SAXS and computational docking Jiménez-García, Brian Pons, Carles Svergun, Dmitri I. Bernadó, Pau Fernández-Recio, Juan Nucleic Acids Res Web Server issue Structural characterization of protein–protein interactions at molecular level is essential to understand biological processes and identify new therapeutic opportunities. However, atomic resolution structural techniques cannot keep pace with current advances in interactomics. Low-resolution structural techniques, such as small-angle X-ray scattering (SAXS), can be applied at larger scale, but they miss atomic details. For efficient application to protein–protein complexes, low-resolution information can be combined with theoretical methods that provide energetic description and atomic details of the interactions. Here we present the pyDockSAXS web server (http://life.bsc.es/pid/pydocksaxs) that provides an automatic pipeline for modeling the structure of a protein–protein complex from SAXS data. The method uses FTDOCK to generate rigid-body docking models that are subsequently evaluated by a combination of pyDock energy-based scoring function and their capacity to describe SAXS data. The only required input files are structural models for the interacting partners and a SAXS curve. The server automatically provides a series of structural models for the complex, sorted by the pyDockSAXS scoring function. The user can also upload a previously computed set of docking poses, which opens the possibility to filter the docking solutions by potential interface residues or symmetry restraints. The server is freely available to all users without restriction. Oxford University Press 2015-07-01 2015-04-20 /pmc/articles/PMC4489248/ /pubmed/25897115 http://dx.doi.org/10.1093/nar/gkv368 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution 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 | Web Server issue Jiménez-García, Brian Pons, Carles Svergun, Dmitri I. Bernadó, Pau Fernández-Recio, Juan pyDockSAXS: protein–protein complex structure by SAXS and computational docking |
title | pyDockSAXS: protein–protein complex structure by SAXS and computational docking |
title_full | pyDockSAXS: protein–protein complex structure by SAXS and computational docking |
title_fullStr | pyDockSAXS: protein–protein complex structure by SAXS and computational docking |
title_full_unstemmed | pyDockSAXS: protein–protein complex structure by SAXS and computational docking |
title_short | pyDockSAXS: protein–protein complex structure by SAXS and computational docking |
title_sort | pydocksaxs: protein–protein complex structure by saxs and computational docking |
topic | Web Server issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4489248/ https://www.ncbi.nlm.nih.gov/pubmed/25897115 http://dx.doi.org/10.1093/nar/gkv368 |
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