A Time-Series-Based Feature Extraction Approach for Prediction of Protein Structural Class. (29th April 2008)

• Record Type: Journal Article
• Authors: Gupta, Ravi; Mittal, Ankush; Singh, Kuldip
• Other Names: Robin Stéphane Academic Editor.
• Is Part Of: EURASIP journal on bioinformatics and systems biology. Volume 2008(2008)
• Publication Date: 2008-04-29
• Subjects: Bioinformatics -- Periodicals; Systems biology -- Periodicals; Systems Biology; Signal Processing, Computer-Assisted; Bio-informatique; Biologie systémique; Bioinformatics; Systems biology; Systems Biology; Bioinformatics; Electronic journals; Periodical; Fulltext; Internet Resources; Periodicals; Periodicals; 570.285
• DOI: 10.1155/2008/235451
• Languages: English
• ISSNs: 1687-4145

Abstract

Abstract : This paper presents a novel feature vector based on physicochemical property of amino acids for prediction protein structural classes. The proposed method is divided into three different stages. First, a discrete time series representation to protein sequences using physicochemical scale is provided. Later on, a wavelet-based time-series technique is proposed for extracting features from mapped amino acid sequence and a fixed length feature vector for classification is constructed. The proposed feature space summarizes the variance information of ten different biological properties of amino acids. Finally, an optimized support vector machine model is constructed for prediction of each protein structural class. The proposed approach is evaluated using leave-one-out cross-validation tests on two standard datasets. Comparison of our result with existing approaches shows that overall accuracy achieved by our approach is better than exiting methods.