The estimation of relative site variability among aligned homologous protein sequences
Author(s) -
David S. Horner,
Graziano Pesole
Publication year - 2003
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btg063
Subject(s) - phylogenetic tree , maximum likelihood , substitution (logic) , variable (mathematics) , tree (set theory) , protein superfamily , computer science , contrast (vision) , statistics , biology , algorithm , mathematics , genetics , artificial intelligence , combinatorics , gene , programming language , mathematical analysis
Maximum likelihood-based methods to estimate site by site substitution rate variability in aligned homologous protein sequences rely on the formulation of a phylogenetic tree and generally assume that the patterns of relative variability follow a pre-determined distribution. We present a phylogenetic tree-independent method to estimate the relative variability of individual sites within large datasets of homologous protein sequences. It is based upon two simple assumptions. Firstly that substitutions observed between two closely related sequences are likely, in general, to occur at the most variable sites. Secondly that non-conservative amino acid substitutions tend to occur at more variable sites. Our methodology makes no assumptions regarding the underlying pattern of relative variability between sites.
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