Prediction of Protein B-Factors Using Multi-Class Bounded SVM

Title: Prediction of Protein B-Factors Using Multi-Class Bounded SVM

Volume: 14 Issue: 2

Author(s): Peng Chen, Bing Wang, Hau-San Wong and De-Shuang Huang

Affiliation:

Keywords: B-factors, Bounded Support Vector Machine, Sequence profile, Evolutionary rate, Hydrophobicity profile

Abstract: In this paper, we propose the adoption of the bounded support vector machine (BSVM) to predict the B-factors of residues based on a number of distinctive properties of residues. Due to the ability of multi-class classification of the BSVM, we can elaborately distinguish our targets and obtain relatively higher accuracy.

Cite this article as:

Chen Peng, Wang Bing, Wong Hau-San and Huang De-Shuang, Prediction of Protein B-Factors Using Multi-Class Bounded SVM, Protein & Peptide Letters 2007; 14 (2) . https://dx.doi.org/10.2174/092986607779816078

DOI https://dx.doi.org/10.2174/092986607779816078	Print ISSN 0929-8665
Publisher Name Bentham Science Publisher	Online ISSN 1875-5305