Prediction of protein structural classes using the theory of increment of diversity and support vector machine |
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| Authors: | Fangping Wang Zhijian Wang Hong Li Keli Yang |
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| Institution: | WANG Fangping1,WANG Zhijian1,LI Hong2,YANG Keli2 1.School of Physics and Information Science,Tianshui Normal University,Tianshui 741001,Gansu,China,2.College of Sciences and Technology,Inner Mongolia University,Hohhot 010021,Inner Mongolia |
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| Abstract: | Based on the concept of the pseudo amino acid composition(PseAAC),protein structural classes are predicted by using an approach of increment of diversity combined with support vector machine(ID-SVM),in which the dipeptide amino acid composition of proteins is used as the source of diversity.Jackknife test shows that total prediction accuracy is 96.6% and higher than that given by other approaches.Besides,the specificity(Sp) and the Matthew's correlation coefficient(MCC) are also calculated for each protein ... |
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| Keywords: | dipeptide amino acid composition increment of diversity support vector machines protein structure classes |
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