Predicting Coupling Specificity of GPCRs Based on the Optimization of the Coupling Regions

Author(s): Ran Tao, Zhenran Jiang, Weiming Yu, Junxiang Wang

Journal Name: Combinatorial Chemistry & High Throughput Screening
Accelerated Technologies for Biotechnology, Bioassays, Medicinal Chemistry and Natural Products Research

Volume 15 , Issue 9 , 2012

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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.

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

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Article Details

VOLUME: 15
ISSUE: 9
Year: 2012
Published on: 16 October, 2012
Page: [770 - 774]
Pages: 5
DOI: 10.2174/138620712803519662
Price: $65

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