title: Protein fold recognition with a two-layer method based on SVM-SA, WP-NN and C4.5 (TLM-SNC).
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.
authors.affiliation: SCS Lab, Computer Engineering Department, Electrical and Computer Engineering Faculty, Tarbiat Modares University, Tehran, Iran. mhzangooei@gmail.com
authors.forename: Mohammad Hossein
authors.initials: MH
authors.lastname: Zangooei
authors.forename: Saeed
authors.initials: S
authors.lastname: Jalili
mesh_terms: D001665:Binding Sites; D016571:Neural Networks, Computer; D017510:Protein Folding; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism; D060388:Support Vector Machine
chemical_list: D011506:Proteins