Protein fold recognition with a two-layer method based on SVM-SA, WP-NN and C4.5 TLM-SNC

Authors:
Mohammad Hossein Zangooei;Saeed Jalili
Affiliations:
SCS Lab, Computer Engineering Department, Electrical and Computer Engineering Faculty, Tarbiat Modares University, Tehran, Iran;SCS Lab, Computer Engineering Department, Electrical and Computer Engineering Faculty, Tarbiat Modares University, Tehran, Iran
Venue:
International Journal of Data Mining and Bioinformatics
Year:
2013

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Abstract

The structural knowledge of protein is crucial in understanding its biological role. An effort is made to assign a fold to a given protein in a protein fold recognition problem. A computational Two-Layer Method TLM based on the Support Vector Machine SVM, the Neural Network NN and the Decision Tree C4.5 has been developed in this study for the assignment of a protein sequence to a folding class in SCOP. Prediction accuracy is measured on a dataset and the accuracy of the proposed method is very promising in comparison with other classification methods.