Inferring selection on amino acid preference in protein domains.

ABSTRACT: Models that explicitly account for the effect of selection on new mutations have been proposed to account for "codon bias" or the excess of "preferred" codons that results from selection for translational efficiency and/or accuracy. In principle, such models can be applied to any mutation that results in a preferred allele, but in most cases, the fitness effect of a specific mutation cannot be predicted. Here we show that it is possible to assign preferred and unpreferred states to amino acid changing mutations that occur in protein domains. We propose that mutations that lead to more common amino acids (at a given position in a domain) can be considered "preferred alleles" just as are synonymous mutations leading to codons for more abundant tRNAs. We use genome-scale polymorphism data to

SUBMITTER: Moses AM 

PROVIDER: S-EPMC2716081 | biostudies-literature | 2009 Mar

REPOSITORIES: biostudies-literature