MBE Advance Access published online on July 24, 2006
Molecular Biology and Evolution, doi:10.1093/molbev/msl056
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1 Department of Genetics, Development and Cell Biology, Center for Bioinformatics and Biological Statistics, Iowa State University, Ames, IA 50011
* To whom correspondence should be addressed. Predicting functional amino acid residues in silico is important for comparative genomics. In this paper, we focus on the issue of how to statistically identify cluster-specific amino acid residues that are related to the functional divergence after gene duplication. We approach this problem using a framework based on site-specific shift of amino acid property (type-II functional divergence), as opposed to site-specific shift of evolutionary rate (type-I functional divergence). An efficient statistical procedure is implemented to facilitate the development of phylogenomic database for cluster-specific residues of large-scale protein families. Our method has the following features: (1) statistical testing of the type-II functional divergence; and (2) the site-specific Bayesian profile to measure how amino acid residues contribute to type-II (cluster-specific) functional divergence. Consequently, one may obtain the posterior probability for functional cluster-specific residues. Case-studies are presented and indicated that radical cluster-specific residues are responsible for most of inferred type-II functional divergence, while conserved cluster-specific residues appear less than even those imperfect radical cluster-specific residues to this type of functional divergence.
Accepted July 6, 2006
Research Article
A Simple Statistical Method for Estimating Type-II (Cluster-Specific) Functional Divergence of Protein Sequences
Xun Gu 1 *
Xun Gu, E-mail: xgu{at}iastate.edu
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