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dc.contributor.author
Schläpfer, Pascal
dc.contributor.author
Mehta, Devang
dc.contributor.author
Ridderikhoff, Cameron
dc.contributor.author
Uhrig, Richard G.
dc.date.accessioned
2021-08-23T13:34:59Z
dc.date.available
2021-07-27T02:40:36Z
dc.date.available
2021-08-23T13:34:59Z
dc.date.issued
2021-07-02
dc.identifier.issn
1362-4962
dc.identifier.issn
0301-5610
dc.identifier.other
10.1093/nar/gkab391
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/497724
dc.identifier.doi
10.3929/ethz-b-000497724
dc.description.abstract
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.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Oxford University Press
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
DomainViz: intuitive visualization of consensus domain distributions across groups of proteins
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2021-05-22
ethz.journal.title
Nucleic Acids Research
ethz.journal.volume
49
en_US
ethz.journal.issue
1
en_US
ethz.journal.abbreviated
Nucleic Acids Res.
ethz.pages.start
169
en_US
ethz.pages.end
173
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Oxford
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2021-07-27T02:40:51Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2021-08-23T13:35:06Z
ethz.rosetta.lastUpdated
2022-03-29T11:17:25Z
ethz.rosetta.versionExported
true
ethz.COinS
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