Function Prediction for DNA-/RNA-Binding Proteins, GPCRs, and Drug ADME-Associated Proteins by SVM

Title: Function Prediction for DNA-/RNA-Binding Proteins, GPCRs, and Drug ADME-Associated Proteins by SVM

Volume: 15 Issue: 5

Author(s): Congzhong Cai, Hanguang Xiao, Qianfei Yuan, Xinghua Liu and Yufeng Wen

Affiliation:

Keywords: Protein function prediction, DNA-binding proteins, RNA-binding proteins, G-protein coupled receptors (GPCRs), drug absorption proteins, drug metabolizing enzymes, drug distribution and excretion proteins, support vector machine (SVM)

Abstract: This paper explores the use of support vector machine (SVM) for protein function prediction. Studies are conducted on several groups of proteins with different functions including DNA-binding proteins, RNA-binding proteins, Gprotein coupled receptors, drug absorption proteins, drug metabolizing enzymes, drug distribution and excretion proteins. The computed accuracy for the prediction of these proteins is found to be in the range of 82.32% to 99.7%, which illustrates the potential of SVM in facilitating protein function prediction.

Cite this article as:

Cai Congzhong, Xiao Hanguang, Yuan Qianfei, Liu Xinghua and Wen Yufeng, Function Prediction for DNA-/RNA-Binding Proteins, GPCRs, and Drug ADME-Associated Proteins by SVM, Protein & Peptide Letters 2008; 15 (5) . https://dx.doi.org/10.2174/092986608784567528

DOI https://dx.doi.org/10.2174/092986608784567528	Print ISSN 0929-8665
Publisher Name Bentham Science Publisher	Online ISSN 1875-5305