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Predicting loop conformational ensembles

Abstract:
Motivation
Protein function is often facilitated by the existence of multiple stable conformations. Structure prediction algorithms need to be able to model these different conformations accurately, and produce an ensemble of structures that represent a target’s conformational diversity rather than just a single state. Here, we investigate whether current loop prediction algorithms are capable of this. We use the algorithms to predict the structures of loops with multiple experime... Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1093/bioinformatics/btx718

Authors


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Institution:
University of Oxford
Division:
MPLS Division
Department:
Statistics
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Statistics
UCB Pharma Ltd More from this funder
Publisher:
Oxford University Press Publisher's website
Journal:
Bioinformatics Journal website
Volume:
34
Issue:
6
Pages:
949–956
Publication date:
2017-11-10
Acceptance date:
2017-10-01
DOI:
EISSN:
1460-2059
ISSN:
1367-4811
Pubs id:
pubs:745322
URN:
uri:b763a5e4-1cfe-4b69-8a45-871832f9bd8b
UUID:
uuid:b763a5e4-1cfe-4b69-8a45-871832f9bd8b
Local pid:
pubs:745322

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