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PMID: 18057019 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Mutual information without the influence of phylogeny or entropy dramatically improves residue contact prediction.

Bioinformatics (Oxford, England) ·Vol. 24 ·No. 3 ·2008-02-01 ·Pages 333-40

Dunn SD, Wahl LM, Gloor GB

Abstract

Compensating alterations during the evolution of protein families give rise to coevolving positions that contain important structural and functional information. However, a high background composed of random noise and phylogenetic components interferes with the identification of coevolving positions. We have developed a rapid, simple and general method based on information theory that accurately estimates the level of background mutual information for each pair of positions in a given protein family. Removal of this background results in a metric, MIp, that correctly identifies substantially more coevolving positions in protein families than any existing method. A significant fraction of these positions coevolve strongly with one or only a few positions. The vast majority of such position pairs are in contact in representative structures. The identification of strongly coevolving position pairs can be used to impose significant structural limitations and should be an important additional constraint for ab initio protein folding. Alignments and program files can be found in the Supplementary Information.

MeSH Terms
Algorithms Amino Acid Sequence Base Sequence Binding Sites Computational Biology/methods Entropy Evolution, Molecular Molecular Sequence Data Phylogeny Protein Binding Proteins/chemistry,genetics Sequence Alignment/methods Sequence Analysis/methods
Chemicals
Proteins
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Dunn S D
Department of Biochemistry, University of Western Ontario, London, Ontario, Canada, N6A 5C1.
Wahl L M
Gloor G B
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4811
Published
2008-02-01
Epub
2007-00-05
Pages
333-40
Language
English
Region
England
NLM ID
9808944
Subset
IM
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