Computational identification and analysis of G protein‐coupled receptor targets

Abstract

The completion of the human genome sequence has provided a large pool of potential drug targets for disease therapy. G protein–coupled receptors (GPCRs), which are central to signaling networks that regulate basic cellular processes, represent the most important known class of therapeutic targets for multiple disease states. Bioinformatics approaches can be applied to facilitate the identification of novel GPCRs, understanding their physiological and pathological roles, and screening for drug discovery. The present review summarizes current bioinformatics approaches that can be used to identify and analyze GPCR targets. In addition, the limitations of these technologies with the intention of setting reasonable expectations are also discussed together with some potential avenues for GPCR research. Drug Dev. Res. 67:771–780, 2006. © 2007 Wiley‐Liss, Inc.

Identification Methods of G Protein-Coupled Receptors

“…There are similar studies, where the methods of classification of GPCRs have been reviewed but where bioinformatics techniques were included. Among these studies, Lu, Li and Jiang (2006) summarize the bioinformatics methods that can be used to identify and analyze target GPCRs. Bioinformatics approaches cited and the most commonly used are: Sequence Similarity Methods and Pattern/Profile Database Search Methods.…”