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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000Research
2017
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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. |
format | Online Article Text |
id | pubmed-5531156 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | F1000Research |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT deoliveirasaulo coevolutiontechniquesarereshapingthewaywedostructuralbioinformatics AT deanecharlotte coevolutiontechniquesarereshapingthewaywedostructuralbioinformatics |