Open AccessPredicting GPCR–G-protein coupling using hidden Markov models
Author(s) -
K. R. Sreekumar,
Youping Huang,
Mark H. Pausch,
Kamalakar Gulukota
Publication year - 2004
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bth434
Subject(s) - hidden markov model , g protein coupled receptor , computer science , markov chain , computational biology , artificial intelligence , machine learning , chemistry , biology , biochemistry , receptor
Determining the coupling specificity of G-protein coupled receptors (GPCRs) is important for understanding the biology of this class of pharmacologically important proteins. Currently available in silico methods for predicting GPCR-G-protein coupling specificity have high error rate.
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