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Rinmaker: a fast, versatile and reliable tool to determine residue interaction networks in proteins
BACKGROUND: Residue Interaction Networks (RINs) map the crystallographic description of a protein into a graph, where amino acids are represented as nodes and non-covalent bonds as edges. Determination and visualization of a protein as a RIN provides insights on the topological properties (and hence...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10496328/ https://www.ncbi.nlm.nih.gov/pubmed/37697267 http://dx.doi.org/10.1186/s12859-023-05466-y |
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author | Spanò, Alvise Fanton, Lorenzo Pizzolato, Davide Moi, Jacopo Vinci, Francesco Pesce, Alberto Dongmo Foumthuim, Cedrix J. Giacometti, Achille Simeoni, Marta |
author_facet | Spanò, Alvise Fanton, Lorenzo Pizzolato, Davide Moi, Jacopo Vinci, Francesco Pesce, Alberto Dongmo Foumthuim, Cedrix J. Giacometti, Achille Simeoni, Marta |
author_sort | Spanò, Alvise |
collection | PubMed |
description | BACKGROUND: Residue Interaction Networks (RINs) map the crystallographic description of a protein into a graph, where amino acids are represented as nodes and non-covalent bonds as edges. Determination and visualization of a protein as a RIN provides insights on the topological properties (and hence their related biological functions) of large proteins without dealing with the full complexity of the three-dimensional description, and hence it represents an invaluable tool of modern bioinformatics. RESULTS: We present RINmaker, a fast, flexible, and powerful tool for determining and visualizing RINs that include all standard non-covalent interactions. RINmaker is offered as a cross-platform and open source software that can be used either as a command-line tool or through a web application or a web API service. We benchmark its efficiency against the main alternatives and provide explicit tests to show its performance and its correctness. CONCLUSIONS: RINmaker is designed to be fully customizable, from a simple and handy support for experimental research to a sophisticated computational tool that can be embedded into a large computational pipeline. Hence, it paves the way to bridge the gap between data-driven/machine learning approaches and numerical simulations of simple, physically motivated, models. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-023-05466-y. |
format | Online Article Text |
id | pubmed-10496328 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104963282023-09-13 Rinmaker: a fast, versatile and reliable tool to determine residue interaction networks in proteins Spanò, Alvise Fanton, Lorenzo Pizzolato, Davide Moi, Jacopo Vinci, Francesco Pesce, Alberto Dongmo Foumthuim, Cedrix J. Giacometti, Achille Simeoni, Marta BMC Bioinformatics Software BACKGROUND: Residue Interaction Networks (RINs) map the crystallographic description of a protein into a graph, where amino acids are represented as nodes and non-covalent bonds as edges. Determination and visualization of a protein as a RIN provides insights on the topological properties (and hence their related biological functions) of large proteins without dealing with the full complexity of the three-dimensional description, and hence it represents an invaluable tool of modern bioinformatics. RESULTS: We present RINmaker, a fast, flexible, and powerful tool for determining and visualizing RINs that include all standard non-covalent interactions. RINmaker is offered as a cross-platform and open source software that can be used either as a command-line tool or through a web application or a web API service. We benchmark its efficiency against the main alternatives and provide explicit tests to show its performance and its correctness. CONCLUSIONS: RINmaker is designed to be fully customizable, from a simple and handy support for experimental research to a sophisticated computational tool that can be embedded into a large computational pipeline. Hence, it paves the way to bridge the gap between data-driven/machine learning approaches and numerical simulations of simple, physically motivated, models. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-023-05466-y. BioMed Central 2023-09-11 /pmc/articles/PMC10496328/ /pubmed/37697267 http://dx.doi.org/10.1186/s12859-023-05466-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Software Spanò, Alvise Fanton, Lorenzo Pizzolato, Davide Moi, Jacopo Vinci, Francesco Pesce, Alberto Dongmo Foumthuim, Cedrix J. Giacometti, Achille Simeoni, Marta Rinmaker: a fast, versatile and reliable tool to determine residue interaction networks in proteins |
title | Rinmaker: a fast, versatile and reliable tool to determine residue interaction networks in proteins |
title_full | Rinmaker: a fast, versatile and reliable tool to determine residue interaction networks in proteins |
title_fullStr | Rinmaker: a fast, versatile and reliable tool to determine residue interaction networks in proteins |
title_full_unstemmed | Rinmaker: a fast, versatile and reliable tool to determine residue interaction networks in proteins |
title_short | Rinmaker: a fast, versatile and reliable tool to determine residue interaction networks in proteins |
title_sort | rinmaker: a fast, versatile and reliable tool to determine residue interaction networks in proteins |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10496328/ https://www.ncbi.nlm.nih.gov/pubmed/37697267 http://dx.doi.org/10.1186/s12859-023-05466-y |
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