title: Models of protein sequence evolution and their applications.
abstract: Homologous sequences are correlated due to their common ancestry. Probabilistic models of sequence evolution are employed routinely to properly account for these phylogenetic correlations. These increasingly realistic models provide a basis for studying evolution and for exploiting it to better understand protein structure and function. Notable recent advances have been made in the treatment of insertion and deletion events, the estimation of amino-acid replacement rates, and the detection of positive selection.
authors.affiliation: Program in Statistical Genetics, Statistics Department, Box 8203, North Carolina State University, raleigh, North Carolina 27695-8203, USA. thorne@statgen.ncsu.edu
authors.forename: J L
authors.initials: JL
authors.lastname: Thorne
mesh_terms: D000595:Amino Acid Sequence; D000818:Animals; D003062:Codon; D019143:Evolution, Molecular; D014644:Genetic Variation; D008957:Models, Genetic; D016254:Mutagenesis, Insertional; D017354:Point Mutation; D017433:Protein Structure, Secondary; D011506:Proteins / Q000235:genetics*; D017384:Sequence Deletion
chemical_list: D003062:Codon; D011506:Proteins