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A combined approach for the classification of G protein-coupled receptors and its application to detect GPCR splice variants

Paper ID Volume ID Publish Year Pages File Format Full-Text
15440 1413 2007 11 PDF Available
Title
A combined approach for the classification of G protein-coupled receptors and its application to detect GPCR splice variants
Abstract

G protein-coupled receptors (GPCRs) constitute the largest family of cell surface receptors and play a central role in cellular signaling pathways. The importance of GPCRs has led to their becoming the targets of more than 50% of prescription drugs. However, drug compounds that do not differentiate between receptor subtypes can have considerable side effects and efficacy problems. An accurate classification of GPCRs can solve the side effect problems and raise the efficacy of drugs. Here, we introduce an approach that combines a fingerprint method, statistical profiles and physicochemical properties of transmembrane (TM) domains for a highly accurate classification of the receptors. The approach allows both the recognition and classification for GPCRs at the subfamily and subtype level, and allows the identification of splice variants. We found that the approach demonstrates an overall accuracy of 97.88% for subfamily classification, and 94.57% for subtype classification.

Keywords
G protein-coupled receptor; Transmembrane domain; Splice variant; Profile hidden Markov model; Physicochemical property
First Page Preview
A combined approach for the classification of G protein-coupled receptors and its application to detect GPCR splice variants
Publisher
Database: Elsevier - ScienceDirect
Journal: Computational Biology and Chemistry - Volume 31, Issue 4, August 2007, Pages 246–256
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering