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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Main Authors: Saulo de Oliveira, Charlotte Deane
Format: Article
Language:English
Published: F1000 Research Ltd 2017-07-01
Series:F1000Research
Subjects:
Online Access:https://f1000research.com/articles/6-1224/v1
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spelling 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
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