A prediction method of protein disulfide bond based on support vector machine and\nsample selection is proposed in this paper. First, the protein sequences selected are\nencoded according to a certain encoding, input data for the prediction model of protein\ndisulfide bond is generated; Then sample selection technique is used to select a\nportion of input data as training samples of support vector machine; finally the prediction\nmodel training samples trained is used to predict protein disulfide bond. The\nresult of simulation experiment shows that the prediction model based on support\nvector machine and sample selection can increase the prediction accuracy of protein\ndisulfide bond.
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