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Determinants of protein function revealed by combinatorial entropy optimization

We use a new algorithm (combinatorial entropy optimization [CEO]) to identify specificity residues and functional subfamilies in sets of proteins related by evolution. Specificity residues are conserved within a subfamily but differ between subfamilies, and they typically encode functional diversity...

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Detalles Bibliográficos
Autores principales: Reva, Boris, Antipin, Yevgeniy, Sander, Chris
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2258190/
https://www.ncbi.nlm.nih.gov/pubmed/17976239
http://dx.doi.org/10.1186/gb-2007-8-11-r232
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author Reva, Boris
Antipin, Yevgeniy
Sander, Chris
author_facet Reva, Boris
Antipin, Yevgeniy
Sander, Chris
author_sort Reva, Boris
collection PubMed
description We use a new algorithm (combinatorial entropy optimization [CEO]) to identify specificity residues and functional subfamilies in sets of proteins related by evolution. Specificity residues are conserved within a subfamily but differ between subfamilies, and they typically encode functional diversity. We obtain good agreement between predicted specificity residues and experimentally known functional residues in protein interfaces. Such predicted functional determinants are useful for interpreting the functional consequences of mutations in natural evolution and disease.
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spelling pubmed-22581902008-02-28 Determinants of protein function revealed by combinatorial entropy optimization Reva, Boris Antipin, Yevgeniy Sander, Chris Genome Biol Method We use a new algorithm (combinatorial entropy optimization [CEO]) to identify specificity residues and functional subfamilies in sets of proteins related by evolution. Specificity residues are conserved within a subfamily but differ between subfamilies, and they typically encode functional diversity. We obtain good agreement between predicted specificity residues and experimentally known functional residues in protein interfaces. Such predicted functional determinants are useful for interpreting the functional consequences of mutations in natural evolution and disease. BioMed Central 2007 2007-11-01 /pmc/articles/PMC2258190/ /pubmed/17976239 http://dx.doi.org/10.1186/gb-2007-8-11-r232 Text en Copyright © 2007 Reva et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method
Reva, Boris
Antipin, Yevgeniy
Sander, Chris
Determinants of protein function revealed by combinatorial entropy optimization
title Determinants of protein function revealed by combinatorial entropy optimization
title_full Determinants of protein function revealed by combinatorial entropy optimization
title_fullStr Determinants of protein function revealed by combinatorial entropy optimization
title_full_unstemmed Determinants of protein function revealed by combinatorial entropy optimization
title_short Determinants of protein function revealed by combinatorial entropy optimization
title_sort determinants of protein function revealed by combinatorial entropy optimization
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2258190/
https://www.ncbi.nlm.nih.gov/pubmed/17976239
http://dx.doi.org/10.1186/gb-2007-8-11-r232
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