Predicting the Coupling Specificity of G-protein Coupled Receptors to G-proteins by Support Vector Machines
Open Access
- 1 January 2005
- journal article
- research article
- Published by Oxford University Press (OUP) in Genomics, Proteomics and Bioinformatics
- Vol. 3 (4) , 247-251
- https://doi.org/10.1016/s1672-0229(05)03035-4
Abstract
G-protein coupled receptors (GPCRs) represent one of the most important classes of drug targets for pharmaceutical industry and play important roles in cellular signal transduction. Predicting the coupling specificity of GPCRs to G-proteins is vital for further understanding the mechanism of signal transduction and the function of the receptors within a cell, which can provide new clues for pharmaceutical research and development. In this study, the features of amino acid compositions and physiochemical properties of the full-length GPCR sequences have been analyzed and extracted. Based on these features, classifiers have been developed to predict the coupling specificity of GPCRs to G-proteins using support vector machines. The testing results show that this method could obtain better prediction accuracy.Keywords
Funding Information
- Ministry of Education of the People's Republic of China (505010, CG2003-GA002)
- National Natural Science Foundation of China (30370354, 90203011)
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