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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...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2007
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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. |
format | Text |
id | pubmed-2258190 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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