title: GPCRserver: an accurate and novel G protein-coupled receptor predictor.
abstract: G protein coupled receptors (GPCRs), also known as seven-transmembrane domain receptors, pass through the cellular membrane seven times and play diverse biological roles in the cells such as signaling, transporting of molecules and cell-cell communication. In this work, we develop a web server, namely the GPCRserver, which is capable of identifying GPCRs from genomic sequences, and locating their transmembrane regions. The GPCRserver contains three modules: (1) the Trans-GPCR for the transmembrane region prediction by using sequence evolutionary profiles with the assistance of neural network training, (2) the SSEA-GPCR for identifying GPCRs from genomic data by using secondary structure element alignment, and (3) the PPA-GPCR for identifying GPCRs by using profile-to-profile alignment. Our predictor was strictly benchmarked and showed its favorable performance in the real application. The web server and stand-alone programs are publicly available at .
authors.affiliation: Institute of Applied Genomics, School of Biological Sciences and Engineering, Fuzhou University, Fuzhou 350002, China. yanrenxiang@fzu.edu.cn.
authors.forename: Renxiang
authors.initials: R
authors.lastname: Yan
authors.forename: Xiaofeng
authors.initials: X
authors.lastname: Wang
authors.forename: Lanqing
authors.initials: L
authors.lastname: Huang
authors.forename: Jun
authors.initials: J
authors.lastname: Lin
authors.forename: Weiwen
authors.initials: W
authors.lastname: Cai
authors.forename: Ziding
authors.initials: Z
authors.lastname: Zhang
mesh_terms: D019295:Computational Biology / Q000379:methods; D030541:Databases, Genetic; D006801:Humans; D020407:Internet; D012372:ROC Curve; D043562:Receptors, G-Protein-Coupled / Q000737:chemistry* / Q000502:physiology*; D064878:Web Browser
chemical_list: D043562:Receptors, G-Protein-Coupled