An improved classification of G-protein-coupled receptors using sequence-derived features |
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| Authors: | Zhen-Ling Peng Jian-Yi Yang Xin Chen |
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| Affiliation: | (1) Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, T6G 2V4, Canada;(2) Division of Mathematical Sciences, School of Physical and Mathematical Sciences, Nanyang Technological University, 21 Nanyang Link, 637371, Singapore;(3) Department of Mathematics, Bijie University, Guizhou, 551700, China |
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| Abstract: | Background G-protein-coupled receptors (GPCRs) play a key role in diverse physiological processes and are the targets of almost two-thirds of the marketed drugs. The 3 D structures of GPCRs are largely unavailable; however, a large number of GPCR primary sequences are known. To facilitate the identification and characterization of novel receptors, it is therefore very valuable to develop a computational method to accurately predict GPCRs from the protein primary sequences. |
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