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Bioinformatics

2008

Bioinformatics

Stanley D Dunn

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Mutual Information Without The Influence Of Phylogeny Or Entropy Dramatically Improves Residue Contact Prediction, Stanley Dunn, Lindi Wahl, Gregory Gloor Dec 2007

Mutual Information Without The Influence Of Phylogeny Or Entropy Dramatically Improves Residue Contact Prediction, Stanley Dunn, Lindi Wahl, Gregory Gloor

Stanley D Dunn

Motivation: 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.

Results: 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 …