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Combining co-evolution and secondary structure prediction to improve fragment library generation

Abstract:
Motivation Recent advances in co-evolution techniques have made possible the accurate prediction of protein structures in the absence of a template. Here, we provide a general approach that further utilizes co-evolution constraints to generate better fragment libraries for fragment-based protein structure prediction. Results We have compared five different fragment library generation programmes on three different datasets encompassing over 400 unique protein... Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1093/bioinformatics/bty084

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More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Statistics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Oxford college:
Kellogg College
Role:
Author
ORCID:
0000-0003-1388-2252
Publisher:
Oxford University Press Publisher's website
Journal:
Bioinformatics Journal website
Volume:
34
Issue:
13
Pages:
2219–2227
Publication date:
2018-02-15
Acceptance date:
2018-02-14
DOI:
EISSN:
1460-2059
ISSN:
1367-4803
Pmid:
29462243
Language:
English
Pubs id:
pubs:826240
UUID:
uuid:ca3b892e-17aa-4e6c-88c2-5e9075b2a94c
Local pid:
pubs:826240
Source identifiers:
826240
Deposit date:
2018-06-14

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