DocumentCode :
1932648
Title :
Analysis and Prediction of Global and Subfamily-specific Functional Sites in Bioaminergic Receptors
Author :
Xue, Dan ; Liang, Long ; Yin, Jingyuan
Author_Institution :
Coll. of Commun. & Inf. Eng., Shanghai Univ., Shanghai
Volume :
1
fYear :
2008
fDate :
27-30 May 2008
Firstpage :
77
Lastpage :
82
Abstract :
Bioaminergic receptors are involved in controlling a variety of physiological functions. An approach to predict the functional sites in bioaminergic receptors was described and applied in this study. Given an alignment and receptors with already known subfamily definition, the method identified the global and subfamily-specific functional sites based on the position-specific conservation score in both family and subfamily. Global functional sites which highly conserved in the bioaminergic receptors are play important roles in structure and responsible for the common mechanisms of receptor activation and G protein coupling. Subfamily-specific functional sites are conserved in one subfamily but vary between other subfamilies. They are mainly involved in ligand binding and G protein coupling. As research about these subfamily-specific sites is rather limited, our prediction data have an important meaning for further elucidating the specific functions of subfamily in bioaminergic receptors.
Keywords :
biology computing; molecular biophysics; proteins; G protein coupling; bioaminergic receptors; global functional sites; ligand binding; physiological functions; position-specific conservation score; receptor activation; subfamily-specific functional sites; Biomedical engineering; Biomedical informatics; Biotechnology; Communication system control; Educational institutions; Extracellular; Information analysis; Phylogeny; Proteins; Signal processing; Bioaminergic receptors; Global functional sites; Subfamily-specific functional sites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-0-7695-3118-2
Type :
conf
DOI :
10.1109/BMEI.2008.173
Filename :
4548639
Link To Document :
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