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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...

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Autores principales: Clementel, Damiano, Del Conte, Alessio, Monzon, Alexander Miguel, Camagni, Giorgia F, Minervini, Giovanni, Piovesan, Damiano, Tosatto, Silvio C E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
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/.
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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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