JBiSE  Vol.9 No.10 B , September 2016
A Prediction Method of Protein Disulfide Bond Based on Hybrid Strategy
A prediction method of protein disulfide bond based on support vector machine and sample selection is proposed in this paper. First, the protein sequences selected are en-coded according to a certain encoding, input data for the prediction model of protein disulfide bond is generated; Then sample selection technique is used to select a portion of input data as training samples of support vector machine; finally the prediction model training samples trained is used to predict protein disulfide bond. The result of simulation experiment shows that the prediction model based on support vector ma-chine and sample selection can increase the prediction accuracy of protein disulfide bond.
Cite this paper: Sun, P. , Ding, Y. , Huang, Y. and Zhang, L. (2016) A Prediction Method of Protein Disulfide Bond Based on Hybrid Strategy. Journal of Biomedical Science and Engineering, 9, 116-121. doi: 10.4236/jbise.2016.910B015.

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