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

[ Vol. 14 , Issue. 2 ]

Author(s):

Peng Chen, Bing Wang, Hau-San Wong and De-Shuang Huang   Pages 185 - 190 ( 6 )

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.

Keywords:

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

Affiliation:

Intelligent Computing Lab,Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei Anhui, 230031, China.



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