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DomainViz: intuitive visualization of consensus domain distributions across groups of proteins
The prediction of functional domains is typically among the first steps towards understanding the function of new proteins and protein families. There are numerous databases of annotated protein domains that permit researchers to identify domains on individual proteins of interest. However, it is ne...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262717/ https://www.ncbi.nlm.nih.gov/pubmed/34023887 http://dx.doi.org/10.1093/nar/gkab391 |
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author | Schläpfer, Pascal Mehta, Devang Ridderikhoff, Cameron Uhrig, R Glen |
author_facet | Schläpfer, Pascal Mehta, Devang Ridderikhoff, Cameron Uhrig, R Glen |
author_sort | Schläpfer, Pascal |
collection | PubMed |
description | The prediction of functional domains is typically among the first steps towards understanding the function of new proteins and protein families. There are numerous databases of annotated protein domains that permit researchers to identify domains on individual proteins of interest. However, it is necessary to perform high-throughput domain searches to gain evolutionary insight into the functions of proteins and protein families. Unfortunately, at present, it is difficult to search for, and visualize domain conservation across multiple proteins and/or multiple groups of proteins in an intuitive manner. Here we present DomainViz, a new web-server that streamlines the identification and visualization of domains across multiple protein sequences. Currently, DomainViz uses the well-established PFAM and Prosite databases for domain searching and assembles intuitive, publication-ready ‘monument valley’ plots (mv-plots) that display the extent of domain conservation along two dimensions: positionality and frequency of occurrence in the input protein sequences. In addition, DomainViz produces a conventional domain-ordering figure. DomainViz can be used to explore the conservation of domains within a single protein family, across multiple families, and across families from different species to support studies into protein function and evolution. The web-server is publicly available at: https://uhrigprotools.biology.ualberta.ca/domainviz. |
format | Online Article Text |
id | pubmed-8262717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-82627172021-07-08 DomainViz: intuitive visualization of consensus domain distributions across groups of proteins Schläpfer, Pascal Mehta, Devang Ridderikhoff, Cameron Uhrig, R Glen Nucleic Acids Res Web Server Issue The prediction of functional domains is typically among the first steps towards understanding the function of new proteins and protein families. There are numerous databases of annotated protein domains that permit researchers to identify domains on individual proteins of interest. However, it is necessary to perform high-throughput domain searches to gain evolutionary insight into the functions of proteins and protein families. Unfortunately, at present, it is difficult to search for, and visualize domain conservation across multiple proteins and/or multiple groups of proteins in an intuitive manner. Here we present DomainViz, a new web-server that streamlines the identification and visualization of domains across multiple protein sequences. Currently, DomainViz uses the well-established PFAM and Prosite databases for domain searching and assembles intuitive, publication-ready ‘monument valley’ plots (mv-plots) that display the extent of domain conservation along two dimensions: positionality and frequency of occurrence in the input protein sequences. In addition, DomainViz produces a conventional domain-ordering figure. DomainViz can be used to explore the conservation of domains within a single protein family, across multiple families, and across families from different species to support studies into protein function and evolution. The web-server is publicly available at: https://uhrigprotools.biology.ualberta.ca/domainviz. Oxford University Press 2021-05-22 /pmc/articles/PMC8262717/ /pubmed/34023887 http://dx.doi.org/10.1093/nar/gkab391 Text en © The Author(s) 2021. 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 (http://creativecommons.org/licenses/by-nc/4.0/ (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 Schläpfer, Pascal Mehta, Devang Ridderikhoff, Cameron Uhrig, R Glen DomainViz: intuitive visualization of consensus domain distributions across groups of proteins |
title | DomainViz: intuitive visualization of consensus domain distributions across groups of proteins |
title_full | DomainViz: intuitive visualization of consensus domain distributions across groups of proteins |
title_fullStr | DomainViz: intuitive visualization of consensus domain distributions across groups of proteins |
title_full_unstemmed | DomainViz: intuitive visualization of consensus domain distributions across groups of proteins |
title_short | DomainViz: intuitive visualization of consensus domain distributions across groups of proteins |
title_sort | domainviz: intuitive visualization of consensus domain distributions across groups of proteins |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262717/ https://www.ncbi.nlm.nih.gov/pubmed/34023887 http://dx.doi.org/10.1093/nar/gkab391 |
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