This paper studying the predication of secondary structure protein from primary structure protein using support vector machine (SVM).We classify 64 types of proteins in three types : Helices(H) ,Strand(E) and Coil ( C ).In our SVM ,we use a Gaussian kernel with parameter =0.1 and costing parameter c between [0.1,5].The results of support vector machine have different varying accuracies of three types of proteins .
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