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I-COMS: Interprotein-COrrelated Mutations Server

Interprotein contact prediction using multiple sequence alignments (MSAs) is a useful approach to help detect protein–protein interfaces. Different computational methods have been developed in recent years as an approximation to solve this problem. However, as there are discrepancies in the results...

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Autores principales: Iserte, Javier, Simonetti, Franco L., Zea, Diego J., Teppa, Elin, Marino-Buslje, Cristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4489276/
https://www.ncbi.nlm.nih.gov/pubmed/26032772
http://dx.doi.org/10.1093/nar/gkv572
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author Iserte, Javier
Simonetti, Franco L.
Zea, Diego J.
Teppa, Elin
Marino-Buslje, Cristina
author_facet Iserte, Javier
Simonetti, Franco L.
Zea, Diego J.
Teppa, Elin
Marino-Buslje, Cristina
author_sort Iserte, Javier
collection PubMed
description Interprotein contact prediction using multiple sequence alignments (MSAs) is a useful approach to help detect protein–protein interfaces. Different computational methods have been developed in recent years as an approximation to solve this problem. However, as there are discrepancies in the results provided by them, there is still no consensus on which is the best performing methodology. To address this problem, I-COMS (interprotein COrrelated Mutations Server) is presented. I-COMS allows to estimate covariation between residues of different proteins by four different covariation methods. It provides a graphical and interactive output that helps compare results obtained using different methods. I-COMS automatically builds the required MSA for the calculation and produces a rich visualization of either intraprotein and/or interprotein covariating positions in a circos representation. Furthermore, comparison between any two methods is available as well as the overlap between any or all four methodologies. In addition, as a complementary source of information, a matrix visualization of the corresponding scores is made available and the density plot distribution of the inter, intra and inter+intra scores are calculated. Finally, all the results can be downloaded (including MSAs, scores and graphics) for comparison and visualization and/or for further analysis.
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spelling pubmed-44892762015-07-07 I-COMS: Interprotein-COrrelated Mutations Server Iserte, Javier Simonetti, Franco L. Zea, Diego J. Teppa, Elin Marino-Buslje, Cristina Nucleic Acids Res Web Server issue Interprotein contact prediction using multiple sequence alignments (MSAs) is a useful approach to help detect protein–protein interfaces. Different computational methods have been developed in recent years as an approximation to solve this problem. However, as there are discrepancies in the results provided by them, there is still no consensus on which is the best performing methodology. To address this problem, I-COMS (interprotein COrrelated Mutations Server) is presented. I-COMS allows to estimate covariation between residues of different proteins by four different covariation methods. It provides a graphical and interactive output that helps compare results obtained using different methods. I-COMS automatically builds the required MSA for the calculation and produces a rich visualization of either intraprotein and/or interprotein covariating positions in a circos representation. Furthermore, comparison between any two methods is available as well as the overlap between any or all four methodologies. In addition, as a complementary source of information, a matrix visualization of the corresponding scores is made available and the density plot distribution of the inter, intra and inter+intra scores are calculated. Finally, all the results can be downloaded (including MSAs, scores and graphics) for comparison and visualization and/or for further analysis. Oxford University Press 2015-07-01 2015-06-01 /pmc/articles/PMC4489276/ /pubmed/26032772 http://dx.doi.org/10.1093/nar/gkv572 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Web Server issue
Iserte, Javier
Simonetti, Franco L.
Zea, Diego J.
Teppa, Elin
Marino-Buslje, Cristina
I-COMS: Interprotein-COrrelated Mutations Server
title I-COMS: Interprotein-COrrelated Mutations Server
title_full I-COMS: Interprotein-COrrelated Mutations Server
title_fullStr I-COMS: Interprotein-COrrelated Mutations Server
title_full_unstemmed I-COMS: Interprotein-COrrelated Mutations Server
title_short I-COMS: Interprotein-COrrelated Mutations Server
title_sort i-coms: interprotein-correlated mutations server
topic Web Server issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4489276/
https://www.ncbi.nlm.nih.gov/pubmed/26032772
http://dx.doi.org/10.1093/nar/gkv572
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