Open AccessGPCR-GRAPA-LIB—a refined library of hidden Markov Models for annotating GPCRs
Author(s) -
Ron Shigeta,
Melissa Cline,
Guoying Liu,
Michael A. Siani-Rose
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/btg061
Subject(s) - refseq , g protein coupled receptor , computational biology , annotation , hidden markov model , biology , computer science , genome , bioinformatics , genetics , artificial intelligence , gene , receptor
GPCR-GRAPA-LIB is a library of HMMs describing G protein coupled receptor families. These families are initially defined by class of receptor ligand, with divergent families divided into subfamilies using phylogenic analysis and knowledge of GPCR function. Protein sequences are applied to the models with the GRAPA curve-based selection criteria. RefSeq sequences for Homo sapiens, Drosophila melanogaster, and Caenorhabditis elegans have been annotated using this approach.