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A generative angular model of protein structure evolution

Abstract:

Recently described stochastic models of protein evolution have demonstrated that the inclusion of structural information in addition to amino acid sequences leads to a more reliable estimation of evolutionary parameters. We present a generative, evolutionary model of protein structure and sequence that is valid on a local length scale. The model concerns the local dependencies between sequence and structure evolution in a pair of homologous proteins. The evolutionary trajectory between the tw...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/molbev/msx137

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Institution:
University of Oxford
Oxford college:
Brasenose College
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
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Funding agency for:
Garcia-Portugues, E
Grant:
MTM2016-76969-P
Publisher:
Oxford University Press Publisher's website
Journal:
Molecular Biology and Evolution Journal website
Publication date:
2017-04-27
Acceptance date:
2017-04-14
DOI:
EISSN:
1537-1719
ISSN:
0737-4038
Source identifiers:
689208
Language:
English
Keywords:
Pubs id:
pubs:689208
UUID:
uuid:c51430ad-fab0-49e1-aba3-03f88da1268f
Local pid:
pubs:689208
Deposit date:
2017-05-30

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