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Protein & Peptide Letters

Editor-in-Chief

ISSN (Print): 0929-8665
ISSN (Online): 1875-5305

Incorporating Secondary Features into the General form of Chou's PseAAC for Predicting Protein Structural Class

Author(s): Bo Liao, Qilin Xiang and Dachao Li

Volume 19 , Issue 11 , 2012

Page: [1133 - 1138] Pages: 6

DOI: 10.2174/092986612803217051

Abstract

Protein structure information is very useful for the confirmation of protein function. The protein structural class can provide information for protein 3D structure analysis, causing the conformation of the protein overall folding type plays a significant part in molecular biology. In this paper, we focus on the prediction of protein structural class which was based on new feature representation. We extract features from the Chou-Fasman parameter, amino acid compositions, amino acids hydrophobicity features, polarity information and pair-coupled amino acid composition. The prediction result by the Support vector machine (SVM) classifier shows that our method is better than some others.

Keywords: Binary sequence, feature representation, protein structure class, pseudo-amino acid composition(PseAAC), representation of protein sequence, support vector machine (SVM)


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