The Open Biochemistry Journal




ISSN: 1874-091X ― Volume 14, 2020
REVIEW ARTICLE

Role of Immunoinformatics in Accelerating Epitope-Based Vaccine Development against Dengue Virus



Ahmad Husein Alkaff1, Mutiara Saragih1, Mochammad Arfin Fardiansyah1, Usman Sumo Friend Tambunan1, *
1 Department of Chemistry, Universitas Indonesia, Kampus UI Depok 16424, Depok, Jawa Barat, Indonesia

Abstract

Dengue Fever (DF) has emerged as a significant public health problem of international concern with its high prevalence in the tropic and subtropical regions. Dengue Virus (DENV), which is the cause of DF, consists of four serotypes of antigenically distinct viruses. The immense variation and limited identity similarity at the amino acid level lead to a problematic challenge in the development of an efficacious vaccine. Fortunately, the extensively available immunological data, the advance in antigenic peptide prediction, and the incorporation of molecular docking and dynamics simulation in immunoinformatics have directed the vaccine development towards the rational design of the epitope-based vaccine. Here, we point out the current state of dengue epidemiology and the recent development in vaccine development. Subsequently, we provide a systematic review of our validated method and tools for B- and T-cell epitope prediction as well as the use of molecular docking and dynamics in evaluating epitope affinity and stability in the discovery of a new tetravalent dengue vaccine through computational epitope-based vaccine design.

Keywords: Dengue virus, Epitope-based vaccine, Antigen discovery, Immunoinformatics, In-silico vaccine design, Molecular docking simulation, Molecular dynamics simulation.


Article Information


Identifiers and Pagination:

Year: 2020
Volume: 14
First Page: 9
Last Page: 18
Publisher Id: TOBIOCJ-14-9
DOI: 10.2174/1874091X02014010009

Article History:

Received Date: 25/12/2019
Revision Received Date: 24/02/2020
Acceptance Date: 06/03/2020
Electronic publication date: 21/04/2020
Collection year: 2020

© 2020 Alkaff 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 Bioinformatics Research Group, Department of Chemistry, Universitas Indonesia, Kampus UI Depok 16424, Depok, Jawa Barat, Indonesia; E-mail: usman@ui.ac.id



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