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用于G蛋白偶联受体分类的生物信息学方法

Bioinformatics approaches for the classification of G-protein-coupled receptors.

作者信息

Gaulton Anna, Attwood Teresa K

机构信息

School of Biological Sciences and Department of Computer Science, University of Manchester, Oxford Road, Manchester, M13 9PT, UK.

出版信息

Curr Opin Pharmacol. 2003 Apr;3(2):114-20. doi: 10.1016/s1471-4892(03)00005-5.

Abstract

G-protein-coupled receptors are found abundantly in the human genome, and are the targets of numerous prescribed drugs. However, many receptors remain orphaned (i.e. with unknown ligand specificity), and others remain poorly characterised, with little structural information available. Consequently, there is often a gulf between sequence data and structural and functional knowledge of a receptor. Bioinformatics approaches may offer one approach to bridging this gap. In particular, protein family databases, which distil information from multiple sequence alignments into characteristic signatures, could be used to identify the families to which orphan receptors belong, and might facilitate discovery of novel motifs associated with ligand binding and G-protein-coupling.

摘要

G蛋白偶联受体在人类基因组中大量存在,并且是众多处方药的靶点。然而,许多受体仍然是孤儿受体(即配体特异性未知),其他受体的特征也尚不明确,可用的结构信息很少。因此,受体的序列数据与结构和功能知识之间往往存在差距。生物信息学方法可能提供一种弥合这一差距的途径。特别是,蛋白质家族数据库将来自多序列比对的信息提炼成特征性信号,可用于识别孤儿受体所属的家族,并可能有助于发现与配体结合和G蛋白偶联相关的新基序。

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