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Published in: Immunologic Research 2/2024

25-10-2023 | Dengue Virus | Original Article

Rational design of multi-epitope-based vaccine by exploring all dengue virus serotypes proteome: an immunoinformatic approach

Authors: Ahad Amer Alsaiari, Mohammed Ageeli Hakami, Bader S. Alotaibi, Samia S. Alkhalil, Ali Hazazi, Nada Alkhorayef, Khurshid Jalal, Farzana Yasmin

Published in: Immunologic Research | Issue 2/2024

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Abstract

Millions of people’s lives are being devastated by dengue virus (DENV), a severe tropical and subtropical illness spread by mosquitoes and other vectors. Dengue fever may be self-limiting like a common cold or can rapidly progress to catastrophic dengue hemorrhagic fever or dengue shock syndrome. With four distinct dengue serotypes (DENV1–4), each with the potential to contain antibody-boosting complicated mechanisms, developing a dengue vaccine has been an ambitious challenge. Here, we used a computational pan-vaccinomics-based vaccine design strategy (reverse vaccinology) for all 4 DENV serotypes acquired from different regions of the world to develop a new and safe vaccine against DENV. Consequently, only five mapped epitopes from all the 4 serotypes were shown to be extremely effective for the construction of multi-epitope vaccine constructs. The suggested vaccine construct V5 from eight vaccine models was thus classified as an antigenic, non-allergenic, and stable vaccine model. Moreover, molecular docking and molecular dynamics simulation was performed for the V5 vaccine candidate against the HLAs and TRL2 and 4 immunological receptors. Later, the vaccine sequence was transcribed into the cDNA to generate an expression vector for the Escherichia coli K12 strain. Our research suggests that this vaccine design (V5) has promising potential as a dengue vaccine. However, further experimental analysis into the vaccine’s efficacy might be required for the V5 proper validation to combat all DENV serotypes.
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Metadata
Title
Rational design of multi-epitope-based vaccine by exploring all dengue virus serotypes proteome: an immunoinformatic approach
Authors
Ahad Amer Alsaiari
Mohammed Ageeli Hakami
Bader S. Alotaibi
Samia S. Alkhalil
Ali Hazazi
Nada Alkhorayef
Khurshid Jalal
Farzana Yasmin
Publication date
25-10-2023
Publisher
Springer US
Keyword
Dengue Virus
Published in
Immunologic Research / Issue 2/2024
Print ISSN: 0257-277X
Electronic ISSN: 1559-0755
DOI
https://doi.org/10.1007/s12026-023-09429-6

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