Cargando…

New methods to measure residues coevolution in proteins

BACKGROUND: The covariation of two sites in a protein is often used as the degree of their coevolution. To quantify the covariation many methods have been developed and most of them are based on residues position-specific frequencies by using the mutual information (MI) model. RESULTS: In the paper,...

Descripción completa

Detalles Bibliográficos
Autores principales: Gao, Hongyun, Dou, Yongchao, Yang, Jialiang, Wang, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3123609/
https://www.ncbi.nlm.nih.gov/pubmed/21612664
http://dx.doi.org/10.1186/1471-2105-12-206
_version_ 1782207002687045632
author Gao, Hongyun
Dou, Yongchao
Yang, Jialiang
Wang, Jun
author_facet Gao, Hongyun
Dou, Yongchao
Yang, Jialiang
Wang, Jun
author_sort Gao, Hongyun
collection PubMed
description BACKGROUND: The covariation of two sites in a protein is often used as the degree of their coevolution. To quantify the covariation many methods have been developed and most of them are based on residues position-specific frequencies by using the mutual information (MI) model. RESULTS: In the paper, we proposed several new measures to incorporate new biological constraints in quantifying the covariation. The first measure is the mutual information with the amino acid background distribution (MIB), which incorporates the amino acid background distribution into the marginal distribution of the MI model. The modification is made to remove the effect of amino acid evolutionary pressure in measuring covariation. The second measure is the mutual information of residues physicochemical properties (MIP), which is used to measure the covariation of physicochemical properties of two sites. The third measure called MIBP is proposed by applying residues physicochemical properties into the MIB model. Moreover, scores of our new measures are applied to a robust indicator conn(k) in finding the covariation signal of each site. CONCLUSIONS: We find that incorporating amino acid background distribution is effective in removing the effect of evolutionary pressure of amino acids. Thus the MIB measure describes more biological background information for the coevolution of residues. Besides, our analysis also reveals that the covariation of physicochemical properties is a new aspect of coevolution information.
format Online
Article
Text
id pubmed-3123609
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-31236092011-06-26 New methods to measure residues coevolution in proteins Gao, Hongyun Dou, Yongchao Yang, Jialiang Wang, Jun BMC Bioinformatics Methodology Article BACKGROUND: The covariation of two sites in a protein is often used as the degree of their coevolution. To quantify the covariation many methods have been developed and most of them are based on residues position-specific frequencies by using the mutual information (MI) model. RESULTS: In the paper, we proposed several new measures to incorporate new biological constraints in quantifying the covariation. The first measure is the mutual information with the amino acid background distribution (MIB), which incorporates the amino acid background distribution into the marginal distribution of the MI model. The modification is made to remove the effect of amino acid evolutionary pressure in measuring covariation. The second measure is the mutual information of residues physicochemical properties (MIP), which is used to measure the covariation of physicochemical properties of two sites. The third measure called MIBP is proposed by applying residues physicochemical properties into the MIB model. Moreover, scores of our new measures are applied to a robust indicator conn(k) in finding the covariation signal of each site. CONCLUSIONS: We find that incorporating amino acid background distribution is effective in removing the effect of evolutionary pressure of amino acids. Thus the MIB measure describes more biological background information for the coevolution of residues. Besides, our analysis also reveals that the covariation of physicochemical properties is a new aspect of coevolution information. BioMed Central 2011-05-26 /pmc/articles/PMC3123609/ /pubmed/21612664 http://dx.doi.org/10.1186/1471-2105-12-206 Text en Copyright ©2011 Gao 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 Methodology Article
Gao, Hongyun
Dou, Yongchao
Yang, Jialiang
Wang, Jun
New methods to measure residues coevolution in proteins
title New methods to measure residues coevolution in proteins
title_full New methods to measure residues coevolution in proteins
title_fullStr New methods to measure residues coevolution in proteins
title_full_unstemmed New methods to measure residues coevolution in proteins
title_short New methods to measure residues coevolution in proteins
title_sort new methods to measure residues coevolution in proteins
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3123609/
https://www.ncbi.nlm.nih.gov/pubmed/21612664
http://dx.doi.org/10.1186/1471-2105-12-206
work_keys_str_mv AT gaohongyun newmethodstomeasureresiduescoevolutioninproteins
AT douyongchao newmethodstomeasureresiduescoevolutioninproteins
AT yangjialiang newmethodstomeasureresiduescoevolutioninproteins
AT wangjun newmethodstomeasureresiduescoevolutioninproteins