title: Computational overview of GPCR gene universe to support reverse chemical genomics study.
abstract: In order to support high-throughput screening for ligands of G-protein coupled receptors (GPCRs) by using bioinformatics technology, we introduce a database (SEVENS) with genome-scale annotation and software (GRIFFIN) that can simulate GPCR function. SEVENS ( http://sevens.cbrc.jp/ ) is an integrated database that includes GPCR genes that are identified with high accuracy (99.4% sensitivity and 96.6% specificity) from various types of genomes, by a pipeline that integrates such software as a gene finder, a sequence alignment tool, a motif and domain assignment tool, and a transmembrane helix (TMH) predictor. SEVENS provides the user a genome-scale overview of the "GPCR universe" with detailed information of chromosomal mapping, phylogenetic tree, protein sequence and structure, and experimental evidence, all of which are accessible via a user-friendly interface. GRIFFIN ( http://griffin.cbrc.jp/ ) can predict GPCR and G-protein coupling selectivity induced by ligand binding with high sensitivity and specificity (more than 87% on average), based on the support vector machine (SVM) and hidden Markov Model (HMM). SEVENS and GRIFFIN are expected to contribute to revealing the function of orphan and unknown GPCRs.
authors.affiliation: Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan.
authors.forename: Makiko
authors.initials: M
authors.lastname: Suwa
authors.forename: Yukiteru
authors.initials: Y
authors.lastname: Ono
mesh_terms: D000818:Animals; D001185:Artificial Intelligence; D019295:Computational Biology; D030541:Databases, Genetic; D015195:Drug Design; D004353:Drug Evaluation, Preclinical / Q000379:methods / Q000706:statistics & numerical data; D023281:Genomics / Q000379:methods* / Q000706:statistics & numerical data; D057166:High-Throughput Screening Assays / Q000706:statistics & numerical data; D006801:Humans; D008024:Ligands; D008390:Markov Chains; D040901:Proteomics / Q000379:methods / Q000706:statistics & numerical data; D043562:Receptors, G-Protein-Coupled / Q000737:chemistry / Q000235:genetics* / Q000378:metabolism; D012984:Software
chemical_list: D008024:Ligands; D043562:Receptors, G-Protein-Coupled