Using Chou’s Pseudo Amino Acid Composition and Machine Learning
Method to Predict the Antiviral Peptides

Zare, Maryam; Mohabatkar, Hassan; Faramarzi, Fateme Kazemi; Beigi, Majid Mohammad; Behbahani, Mandana

Using Chou’s Pseudo Amino Acid Composition and Machine Learning Method to Predict the Antiviral Peptides

Maryam Zare¹, Hassan Mohabatkar^{1, *}, Fateme Kazemi Faramarzi², Majid Mohammad Beigi², Mandana Behbahani¹

¹ Department of Biotechnology, Faculty of Advanced Sciences and Technologies, University of Isfahan, Isfahan, Iran

² Department of Biomedical Engineering, Faculty of Engineering, University of Isfahan, Isfahan, Iran

Article Information

Identifiers and Pagination:

Year: 2015
Volume: 9
First Page: 13
Last Page: 19
Publisher ID: TOBIOIJ-9-13
DOI: 10.2174/1875036201509010013

Article History:

Received Date: 18/09/2014
Revision Received Date: 05/12/2014
Acceptance Date: 23/12/2014
Electronic publication date: 31/03/2015
Collection year: 2015

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© 2013 Mohabatkar et al.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

^* Address correspondence to this author at the Department of Biotechnology, Faculty of Advanced Sciences and Technologies, University of Isfahan, Isfahan, Iran; Tel: +98311-7934391; Fax: +98311-7932342; E-mail: h.mohabatkar@ast.ui.ac.ir

Traditional antiviral therapies are expensive, limitedly available, and cause several side effects. Currently, designing antiviral peptides is very important, because these peptides interfere with the key stage of virus life cycle. Most of the antiviral peptides are derived from viral proteins for example peptide derived from HIV-1 capsid protein. Because of the importance of these peptides, in this study the concept of pseudo-amino acid composition (PseAAC) and machine learning methods are used to classify or identify antiviral peptides.

Keywords: Antiviral peptides, machine learning approach, pseudo-amino acid composition.

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RESEARCH ARTICLE

Using Chou’s Pseudo Amino Acid Composition and Machine Learning Method to Predict the Antiviral Peptides

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Abstract

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Published Contents

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