title: Using core hydrophobicity to identify phosphorylation sites of human G protein-coupled receptors.
abstract: As the most frequent drug target, G protein-coupled receptors (GPCRs) are a large family of seven trans-membrane receptors that sense molecules outside the cell and activate inside signal transduction pathways. The activity and lifetime of activated receptors are regulated by receptor phosphorylation. Therefore, investigating the exact positions of phosphorylation sites in GPCRs sequence could provide useful clues for drug design and other biotechnology applications. Experimental identification of phosphorylation sites is expensive and laborious. Hence, there is significant interest in the development of computational methods for reliable prediction of phosphorylation sites from amino acid sequences. In this article, we presented a simple and effective method to recognize phosphorylation sites of human GPCRs by combining amino acid hydrophobicity and support vector machine. The prediction accuracy, sensitivity, specificity, Matthews correlation coefficient and area under the curve values for phosphoserine, phosphothreonine, and phosphotyrosine were 0.964, 0.790, 0.999, 0.866, 0.941; 0.954, 0.800, 0.985, 0.828, 0.958; and 0.976, 0.820, 0.993, 0.861, 0.959, respectively. The establishment of such a fast and accurate prediction method will speed up the pace of identifying proper GPCRs sites to facilitate drug discovery.
authors.affiliation: Research center of Modernization of Traditional Chinese Medicines, Central South University, Changsha 410083, PR China.
authors.forename: Jian-Hua
authors.initials: JH
authors.lastname: Huang
authors.forename: Dong-Sheng
authors.initials: DS
authors.lastname: Cao
authors.forename: Jun
authors.initials: J
authors.lastname: Yan
authors.forename: Qing-Song
authors.initials: QS
authors.lastname: Xu
authors.forename: Qian-Nan
authors.initials: QN
authors.lastname: Hu
authors.forename: Yi-Zeng
authors.initials: YZ
authors.lastname: Liang
mesh_terms: D000596:Amino Acids / Q000737:chemistry* / Q000235:genetics; D019295:Computational Biology / Q000379:methods; D030562:Databases, Protein; D055808:Drug Discovery; D015894:Genome, Human; D006801:Humans; D057927:Hydrophobic and Hydrophilic Interactions; D010766:Phosphorylation; D043562:Receptors, G-Protein-Coupled / Q000737:chemistry* / Q000235:genetics / Q000378:metabolism; D015398:Signal Transduction; D060388:Support Vector Machine
chemical_list: D000596:Amino Acids; D043562:Receptors, G-Protein-Coupled