Co-evolution techniques are reshaping the way we do structural bioinformatics [version 1; referees: 2 approved]
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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doaj-8b8c2620755844549293cdc9d23597d52020-11-25T03:12:36ZengF1000 Research LtdF1000Research2046-14022017-07-01610.12688/f1000research.11543.112469Co-evolution techniques are reshaping the way we do structural bioinformatics [version 1; referees: 2 approved]Saulo de Oliveira0Charlotte Deane1Department of Statistics, University of Oxford, Oxford, UKDepartment of Statistics, University of Oxford, Oxford, UKCo-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.https://f1000research.com/articles/6-1224/v1BiocatalysisBioinformaticsBiomacromolecule-Ligand InteractionsMacromolecular Assemblies & MachinesMembrane Proteins & Energy TransductionProtein Chemistry & ProteomicsProtein FoldingStructural GenomicsStructure: Replication & RepairTheory & Simulation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Saulo de Oliveira Charlotte Deane |
spellingShingle |
Saulo de Oliveira Charlotte Deane Co-evolution techniques are reshaping the way we do structural bioinformatics [version 1; referees: 2 approved] F1000Research Biocatalysis Bioinformatics Biomacromolecule-Ligand Interactions Macromolecular Assemblies & Machines Membrane Proteins & Energy Transduction Protein Chemistry & Proteomics Protein Folding Structural Genomics Structure: Replication & Repair Theory & Simulation |
author_facet |
Saulo de Oliveira Charlotte Deane |
author_sort |
Saulo de Oliveira |
title |
Co-evolution techniques are reshaping the way we do structural bioinformatics [version 1; referees: 2 approved] |
title_short |
Co-evolution techniques are reshaping the way we do structural bioinformatics [version 1; referees: 2 approved] |
title_full |
Co-evolution techniques are reshaping the way we do structural bioinformatics [version 1; referees: 2 approved] |
title_fullStr |
Co-evolution techniques are reshaping the way we do structural bioinformatics [version 1; referees: 2 approved] |
title_full_unstemmed |
Co-evolution techniques are reshaping the way we do structural bioinformatics [version 1; referees: 2 approved] |
title_sort |
co-evolution techniques are reshaping the way we do structural bioinformatics [version 1; referees: 2 approved] |
publisher |
F1000 Research Ltd |
series |
F1000Research |
issn |
2046-1402 |
publishDate |
2017-07-01 |
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. |
topic |
Biocatalysis Bioinformatics Biomacromolecule-Ligand Interactions Macromolecular Assemblies & Machines Membrane Proteins & Energy Transduction Protein Chemistry & Proteomics Protein Folding Structural Genomics Structure: Replication & Repair Theory & Simulation |
url |
https://f1000research.com/articles/6-1224/v1 |
work_keys_str_mv |
AT saulodeoliveira coevolutiontechniquesarereshapingthewaywedostructuralbioinformaticsversion1referees2approved AT charlottedeane coevolutiontechniquesarereshapingthewaywedostructuralbioinformaticsversion1referees2approved |
_version_ |
1724649554252398592 |