Title:Predicting Coupling Specificity of GPCRs Based on the Optimization of the Coupling Regions
VOLUME: 15 ISSUE: 9
Author(s):Ran Tao, Zhenran Jiang, Weiming Yu and Junxiang Wang
Affiliation:Department of Computer Science & Technology, East China Normal University, Shanghai, China.
Keywords:G-protein coupled receptor, learning method, promiscuous coupling, signal transduction pathways, databases of Gproteins, intracellular regions, extracellular regions, Support Vector Machine, Performance Evaluation, Hidden Markov model
Abstract:Prediction of promiscuous coupling between G-protein coupling receptors (GPCRs) and various G-proteins is
one of the challenges for current research. In this article, a novel method that based on the optimization of the coupling
regions is proposed. The cross validation results demonstrate that it can achieve an average accuracy of over 80% for
promiscuous coupling prediction. The results further suggest that the optimized coupling regions may be important for the
processes of signal transduction pathways.
