Peng Chen, Bing Wang, Hau-San Wong and De-Shuang Huang Pages 185 - 190 ( 6 )
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.
B-factors, Bounded Support Vector Machine, Sequence profile, Evolutionary rate, Hydrophobicity profile
Intelligent Computing Lab,Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei Anhui, 230031, China.