Classification of Amine Type G-Protein Coupled Receptors with Feature Selection

Title: Classification of Amine Type G-Protein Coupled Receptors with Feature Selection

Volume: 15 Issue: 8

Author(s): Qing-Bin Gao, Cheng Wu, Xiu-Qiang Ma, Jian Lu and Jia He

Affiliation:

Keywords: G-protein coupled receptor, Feature selection, Protein classification, Support vector machine

Abstract: G-protein coupled receptors (GPCRs) are involved in various physiological processes. Therefore, classification of amine type GPCRs is important for proper understanding of their functions. Though some effective methods have been developed, it still remains unknown how many and which features are essential for this task. Empirical studies show that feature selection might address this problem and provide us with some biologically useful knowledge. In this paper, a feature selection technique is introduced to identify those relevant features of proteins which are potentially important for the prediction of amine type GPCRs. The selected features are finally accepted to characterize proteins in a more compact form. High prediction accuracy is observed on two data sets with different sequence similarity by 5-fold cross-validation test. The comparison with a previous method demonstrates the efficiency and effectiveness of the proposed method.

Cite this article as:

Gao Qing-Bin, Wu Cheng, Ma Xiu-Qiang, Lu Jian and He Jia, Classification of Amine Type G-Protein Coupled Receptors with Feature Selection, Protein & Peptide Letters 2008; 15 (8) . https://dx.doi.org/10.2174/092986608785203755

DOI https://dx.doi.org/10.2174/092986608785203755	Print ISSN 0929-8665
Publisher Name Bentham Science Publisher	Online ISSN 1875-5305