Home LiteratureArticle Details
PMID: 15882054 Published · ppublish English Comparative Study Journal Article Research Support, Non-U.S. Gov't

Mutual information in protein multiple sequence alignments reveals two classes of coevolving positions.

Biochemistry ·Vol. 44 ·No. 19 ·2005-05-17 ·Pages 7156-65

Gloor GB, Martin LC, Wahl LM, Dunn SD

Abstract

Information theory was used to identify nonconserved coevolving positions in multiple sequence alignments from a variety of protein families. Coevolving positions in these alignments fall into two general categories. One set is composed of positions that coevolve with only one or two other positions. These positions often display direct amino acid side-chain interactions with their coevolving partner. The other set comprises positions that coevolve with many others and are frequently located in regions critical for protein function, such as active sites and surfaces involved in intermolecular interactions and recognition. We find that coevolving positions are more likely to change protein function when mutated than are positions showing little coevolution. These results imply that information theory may be applied generally to find coevolving, nonconserved positions that are part of functional sites in uncharacterized protein families. We propose that these coevolving positions compose an important subset of the positions in an alignment, and may be as important to the structure and function of the protein family as are highly conserved positions.

MeSH Terms
Algorithms Amino Acids/chemistry Computational Biology/methods,statistics & numerical data Conserved Sequence Evolution, Molecular Homeodomain Proteins/chemistry Models, Molecular Multigene Family Mutagenesis, Site-Directed Proteins/chemistry,genetics Sequence Alignment/methods,statistics & numerical data Sequence Homology, Amino Acid Thermodynamics
Chemicals
Amino Acids Homeodomain Proteins Proteins
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Gloor Gregory B
Department of Biochemistry, The University of Western Ontario, London, Ontario, Canada, N6A 5C1. ggloor@uwo.ca
Martin Louise C
Wahl Lindi M
Dunn Stanley D
Article Info
Journal
Biochemistry
Abbr.
Biochemistry
ISSN
0006-2960
Published
2005-05-17
Pages
7156-65
Language
English
Region
United States
NLM ID
0370623
Subset
IM
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com