Using evolutionary methods to study G-protein coupled receptors.
A novel method to analyze evolutionary change is presented and its application to the analysis of sequence data is discussed. The investigated method uses phylogenetic trees of related proteins with an evolutionary model in order to gain insight about protein structure and function. The evolutionary model, based on amino acid substitutions, contains adjustable parameters related to amino acid and sequence properties. A maximum likelihood approach is used with a phylogenetic tree to optimize these parameters. The model is applied to a set of Muscarinic receptors, members of the G-protein coupled receptor family. Here we show that the optimized parameters of the model are able to highlight the general structural features of these receptors.
Soyer
Orkun
O
Department of Chemistry, University of Michigan, Ann Arbor, MI 48109-1055, USA.
Dimmic
Matthew W
MW
Neubig
Richard R
RR
Goldstein
Richard A
RA
D000818:Animals; D005075:Biological Evolution; D019204:GTP-Binding Proteins / Q000235:genetics*; D006801:Humans; D016013:Likelihood Functions; D008957:Models, Genetic; D008958:Models, Molecular; D011487:Protein Conformation; D011956:Receptors, Cell Surface / Q000737:chemistry* / Q000235:genetics*
D011956:Receptors, Cell Surface; D019204:GTP-Binding Proteins