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RING 3.0: fast generation of probabilistic residue interaction networks from structural ensembles
Residue interaction networks (RINs) are used to represent residue contacts in protein structures. Thanks to the advances in network theory, RINs have been proved effective as an alternative to coordinate data in the analysis of complex systems. The RING server calculates high quality and reliable no...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252747/ https://www.ncbi.nlm.nih.gov/pubmed/35554554 http://dx.doi.org/10.1093/nar/gkac365 |
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author | Clementel, Damiano Del Conte, Alessio Monzon, Alexander Miguel Camagni, Giorgia F Minervini, Giovanni Piovesan, Damiano Tosatto, Silvio C E |
author_facet | Clementel, Damiano Del Conte, Alessio Monzon, Alexander Miguel Camagni, Giorgia F Minervini, Giovanni Piovesan, Damiano Tosatto, Silvio C E |
author_sort | Clementel, Damiano |
collection | PubMed |
description | Residue interaction networks (RINs) are used to represent residue contacts in protein structures. Thanks to the advances in network theory, RINs have been proved effective as an alternative to coordinate data in the analysis of complex systems. The RING server calculates high quality and reliable non-covalent molecular interactions based on geometrical parameters. Here, we present the new RING 3.0 version extending the previous functionality in several ways. The underlying software library has been re-engineered to improve speed by an order of magnitude. RING now also supports the mmCIF format and provides typed interactions for the entire PDB chemical component dictionary, including nucleic acids. Moreover, RING now employs probabilistic graphs, where multiple conformations (e.g. NMR or molecular dynamics ensembles) are mapped as weighted edges, opening up new ways to analyze structural data. The web interface has been expanded to include a simultaneous view of the RIN alongside a structure viewer, with both synchronized and clickable. Contact evolution across models (or time) is displayed as a heatmap and can help in the discovery of correlating interaction patterns. The web server, together with an extensive help and tutorial, is available from URL: https://ring.biocomputingup.it/. |
format | Online Article Text |
id | pubmed-9252747 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-92527472022-07-05 RING 3.0: fast generation of probabilistic residue interaction networks from structural ensembles Clementel, Damiano Del Conte, Alessio Monzon, Alexander Miguel Camagni, Giorgia F Minervini, Giovanni Piovesan, Damiano Tosatto, Silvio C E Nucleic Acids Res Web Server Issue Residue interaction networks (RINs) are used to represent residue contacts in protein structures. Thanks to the advances in network theory, RINs have been proved effective as an alternative to coordinate data in the analysis of complex systems. The RING server calculates high quality and reliable non-covalent molecular interactions based on geometrical parameters. Here, we present the new RING 3.0 version extending the previous functionality in several ways. The underlying software library has been re-engineered to improve speed by an order of magnitude. RING now also supports the mmCIF format and provides typed interactions for the entire PDB chemical component dictionary, including nucleic acids. Moreover, RING now employs probabilistic graphs, where multiple conformations (e.g. NMR or molecular dynamics ensembles) are mapped as weighted edges, opening up new ways to analyze structural data. The web interface has been expanded to include a simultaneous view of the RIN alongside a structure viewer, with both synchronized and clickable. Contact evolution across models (or time) is displayed as a heatmap and can help in the discovery of correlating interaction patterns. The web server, together with an extensive help and tutorial, is available from URL: https://ring.biocomputingup.it/. Oxford University Press 2022-05-12 /pmc/articles/PMC9252747/ /pubmed/35554554 http://dx.doi.org/10.1093/nar/gkac365 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://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 Clementel, Damiano Del Conte, Alessio Monzon, Alexander Miguel Camagni, Giorgia F Minervini, Giovanni Piovesan, Damiano Tosatto, Silvio C E RING 3.0: fast generation of probabilistic residue interaction networks from structural ensembles |
title | RING 3.0: fast generation of probabilistic residue interaction networks from structural ensembles |
title_full | RING 3.0: fast generation of probabilistic residue interaction networks from structural ensembles |
title_fullStr | RING 3.0: fast generation of probabilistic residue interaction networks from structural ensembles |
title_full_unstemmed | RING 3.0: fast generation of probabilistic residue interaction networks from structural ensembles |
title_short | RING 3.0: fast generation of probabilistic residue interaction networks from structural ensembles |
title_sort | ring 3.0: fast generation of probabilistic residue interaction networks from structural ensembles |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252747/ https://www.ncbi.nlm.nih.gov/pubmed/35554554 http://dx.doi.org/10.1093/nar/gkac365 |
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