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

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 bioinf...

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Detalles Bibliográficos
Autores principales: de Oliveira, Saulo, Deane, Charlotte
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5531156/
https://www.ncbi.nlm.nih.gov/pubmed/28781768
http://dx.doi.org/10.12688/f1000research.11543.1
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author de Oliveira, Saulo
Deane, Charlotte
author_facet de Oliveira, Saulo
Deane, Charlotte
author_sort de Oliveira, Saulo
collection PubMed
description 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.
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spelling pubmed-55311562017-08-04 Co-evolution techniques are reshaping the way we do structural bioinformatics de Oliveira, Saulo Deane, Charlotte F1000Res Review 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. F1000Research 2017-07-25 /pmc/articles/PMC5531156/ /pubmed/28781768 http://dx.doi.org/10.12688/f1000research.11543.1 Text en Copyright: © 2017 de Oliveira S and Deane C http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
de Oliveira, Saulo
Deane, Charlotte
Co-evolution techniques are reshaping the way we do structural bioinformatics
title Co-evolution techniques are reshaping the way we do structural bioinformatics
title_full Co-evolution techniques are reshaping the way we do structural bioinformatics
title_fullStr Co-evolution techniques are reshaping the way we do structural bioinformatics
title_full_unstemmed Co-evolution techniques are reshaping the way we do structural bioinformatics
title_short Co-evolution techniques are reshaping the way we do structural bioinformatics
title_sort co-evolution techniques are reshaping the way we do structural bioinformatics
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5531156/
https://www.ncbi.nlm.nih.gov/pubmed/28781768
http://dx.doi.org/10.12688/f1000research.11543.1
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