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Co-evolution techniques are reshaping the way we do structural bioinformatics

Abstract:
Co-evolution techniques were originally conceived to assist in protein structure prediction by inferring pairs of residues that share spatial proximity. However, the functional relationships that can be extrapolated from co-evolution have also proven to be useful in a wide array of structural bioinformatics applications. These techniques are a powerful way to extract structural and functional information in a sequence-rich world
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.12688/f1000research.11543.1

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Institution:
University of Oxford
Division:
Societies, Other & Subsidiary Companies
Department:
Kellogg College
Oxford college:
Kellogg College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
Publisher:
F1000 Research Ltd Publisher's website
Journal:
F1000 Research Journal website
Volume:
6
Pages:
1224
Publication date:
2017-07-01
Acceptance date:
2017-06-30
DOI:
ISSN:
2046-1402
Source identifiers:
707605
Pubs id:
pubs:707605
UUID:
uuid:cce9a301-0d75-4c9a-a2d0-044d8ec37f28
Local pid:
pubs:707605
Deposit date:
2017-07-10

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