Prediction of GPCR-G Protein Coupling Specificity Using Features of Sequences and Biological Functions  

作　　者：Toshihide Ono Haretsugu Hishigaki 

机构地区：[1]Laboratory of Bioinformatics,Otsuka Pharmaceutical Co.,Ltd.,Kawauchi-cho,Tokushima 771-0192,Japan.

出　　处：《Genomics, Proteomics & Bioinformatics》2006年第4期238-244,共7页基因组蛋白质组与生物信息学报（英文版）

摘　　要：Understanding the coupling specificity between G protein-coupled receptors （GPCRs） and specific classes of G proteins is important for further elucidation of receptor functions within a cell. Increasing information on GPCR sequences and the G protein family would facilitate prediction of the coupling properties of GPCRs. In this study, we describe a novel approach for predicting the coupling specificity between GPCRs and G proteins. This method uses not only GPCR sequences but also the functional knowledge generated by natural language processing, and can achieve 92.2% prediction accuracy by using the C4.5 algorithm. Furthermore, rules related to GPCR-G protein coupling are generated. The combination of sequence analysis and text mining improves the prediction accuracy for GPCR-G protein coupling specificity, and also provides clues for understanding GPCR signaling.Understanding the coupling specificity between G protein-coupled receptors （GPCRs） and specific classes of G proteins is important for further elucidation of receptor functions within a cell. Increasing information on GPCR sequences and the G protein family would facilitate prediction of the coupling properties of GPCRs. In this study, we describe a novel approach for predicting the coupling specificity between GPCRs and G proteins. This method uses not only GPCR sequences but also the functional knowledge generated by natural language processing, and can achieve 92.2% prediction accuracy by using the C4.5 algorithm. Furthermore, rules related to GPCR-G protein coupling are generated. The combination of sequence analysis and text mining improves the prediction accuracy for GPCR-G protein coupling specificity, and also provides clues for understanding GPCR signaling.

关 键 词：GPCR G protein coupling specificity NLP C4.5 text mining 

分 类 号：Q26[生物学—细胞生物学]