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DEPCOD: a tool to detect and visualize co-evolution of protein domains

Proteins with similar phylogenetic patterns of conservation or loss across evolutionary taxa are strong candidates to work in the same cellular pathways or engage in physical or functional interactions. Our previously published tools implemented our method of normalized phylogenetic sequence profili...

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Detalles Bibliográficos
Autores principales: Ji, Fei, Bonilla, Gracia, Krykbaev, Rustem, Ruvkun, Gary, Tabach, Yuval, Sadreyev, Ruslan I
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252791/
https://www.ncbi.nlm.nih.gov/pubmed/35536332
http://dx.doi.org/10.1093/nar/gkac349
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author Ji, Fei
Bonilla, Gracia
Krykbaev, Rustem
Ruvkun, Gary
Tabach, Yuval
Sadreyev, Ruslan I
author_facet Ji, Fei
Bonilla, Gracia
Krykbaev, Rustem
Ruvkun, Gary
Tabach, Yuval
Sadreyev, Ruslan I
author_sort Ji, Fei
collection PubMed
description Proteins with similar phylogenetic patterns of conservation or loss across evolutionary taxa are strong candidates to work in the same cellular pathways or engage in physical or functional interactions. Our previously published tools implemented our method of normalized phylogenetic sequence profiling to detect functional associations between non-homologous proteins. However, many proteins consist of multiple protein domains subjected to different selective pressures, so using protein domain as the unit of analysis improves the detection of similar phylogenetic patterns. Here we analyze sequence conservation patterns across the whole tree of life for every protein domain from a set of widely studied organisms. The resulting new interactive webserver, DEPCOD (DEtection of Phylogenetically COrrelated Domains), performs searches with either a selected pre-defined protein domain or a user-supplied sequence as a query to detect other domains from the same organism that have similar conservation patterns. Top similarities on two evolutionary scales (the whole tree of life or eukaryotic genomes) are displayed along with known protein interactions and shared complexes, pathway enrichment among the hits, and detailed visualization of sources of detected similarities. DEPCOD reveals functional relationships between often non-homologous domains that could not be detected using whole-protein sequences. The web server is accessible at http://genetics.mgh.harvard.edu/DEPCOD.
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spelling pubmed-92527912022-07-05 DEPCOD: a tool to detect and visualize co-evolution of protein domains Ji, Fei Bonilla, Gracia Krykbaev, Rustem Ruvkun, Gary Tabach, Yuval Sadreyev, Ruslan I Nucleic Acids Res Web Server Issue Proteins with similar phylogenetic patterns of conservation or loss across evolutionary taxa are strong candidates to work in the same cellular pathways or engage in physical or functional interactions. Our previously published tools implemented our method of normalized phylogenetic sequence profiling to detect functional associations between non-homologous proteins. However, many proteins consist of multiple protein domains subjected to different selective pressures, so using protein domain as the unit of analysis improves the detection of similar phylogenetic patterns. Here we analyze sequence conservation patterns across the whole tree of life for every protein domain from a set of widely studied organisms. The resulting new interactive webserver, DEPCOD (DEtection of Phylogenetically COrrelated Domains), performs searches with either a selected pre-defined protein domain or a user-supplied sequence as a query to detect other domains from the same organism that have similar conservation patterns. Top similarities on two evolutionary scales (the whole tree of life or eukaryotic genomes) are displayed along with known protein interactions and shared complexes, pathway enrichment among the hits, and detailed visualization of sources of detected similarities. DEPCOD reveals functional relationships between often non-homologous domains that could not be detected using whole-protein sequences. The web server is accessible at http://genetics.mgh.harvard.edu/DEPCOD. Oxford University Press 2022-05-10 /pmc/articles/PMC9252791/ /pubmed/35536332 http://dx.doi.org/10.1093/nar/gkac349 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://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
Ji, Fei
Bonilla, Gracia
Krykbaev, Rustem
Ruvkun, Gary
Tabach, Yuval
Sadreyev, Ruslan I
DEPCOD: a tool to detect and visualize co-evolution of protein domains
title DEPCOD: a tool to detect and visualize co-evolution of protein domains
title_full DEPCOD: a tool to detect and visualize co-evolution of protein domains
title_fullStr DEPCOD: a tool to detect and visualize co-evolution of protein domains
title_full_unstemmed DEPCOD: a tool to detect and visualize co-evolution of protein domains
title_short DEPCOD: a tool to detect and visualize co-evolution of protein domains
title_sort depcod: a tool to detect and visualize co-evolution of protein domains
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252791/
https://www.ncbi.nlm.nih.gov/pubmed/35536332
http://dx.doi.org/10.1093/nar/gkac349
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