Analyzing the symmetrical arrangement of structural repeats in proteins with CE-Symm
dc.contributor.author
Bliven, Spencer E.
dc.contributor.author
Lafita, Aleix
dc.contributor.author
Rose, Peter W.
dc.contributor.author
Capitani, Guido
dc.contributor.author
Prlić, Andreas
dc.contributor.author
Bourne, Philip E.
dc.date.accessioned
2019-05-27T11:57:21Z
dc.date.available
2019-05-25T02:25:08Z
dc.date.available
2019-05-27T11:57:21Z
dc.date.issued
2019-04-22
dc.identifier.issn
1553-734X
dc.identifier.issn
1553-7358
dc.identifier.other
10.1371/journal.pcbi.1006842
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/344012
dc.identifier.doi
10.3929/ethz-b-000344012
dc.description.abstract
Many proteins fold into highly regular and repetitive three dimensional structures. The analysis of structural patterns and repeated elements is fundamental to understand protein function and evolution. We present recent improvements to the CE-Symm tool for systematically detecting and analyzing the internal symmetry and structural repeats in proteins. In addition to the accurate detection of internal symmetry, the tool is now capable of i) reporting the type of symmetry, ii) identifying the smallest repeating unit, iii) describing the arrangement of repeats with transformation operations and symmetry axes, and iv) comparing the similarity of all the internal repeats at the residue level. CE-Symm 2.0 helps the user investigate proteins with a robust and intuitive sequence-to-structure analysis, with many applications in protein classification, functional annotation and evolutionary studies. We describe the algorithmic extensions of the method and demonstrate its applications to the study of interesting cases of protein evolution.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
PLOS
dc.rights.uri
http://creativecommons.org/publicdomain/zero/1.0/
dc.title
Analyzing the symmetrical arrangement of structural repeats in proteins with CE-Symm
en_US
dc.type
Journal Article
dc.rights.license
CC0 1.0 Universal
ethz.journal.title
PLoS Computational Biology
ethz.journal.volume
15
en_US
ethz.journal.issue
4
en_US
ethz.journal.abbreviated
PLOS comput. biol.
ethz.pages.start
e1006842
en_US
ethz.size
18 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
San Francisco, CA
ethz.publication.status
published
en_US
ethz.date.deposited
2019-05-25T02:25:12Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-05-27T11:57:33Z
ethz.rosetta.lastUpdated
2024-02-02T08:08:57Z
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true
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Journal Article [130129]