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Chimeric Vaccine Design against Dengue Virus Using Immunoinformatics and Docking Approaches
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A Asadzadeh *    , K Dastan , N Ghorbani |
| 1.Department of Biology, Faculty of Science, Nour Danesh Institute of Higher Education, Isfahan, I.R.Iran. , az.asadzadeh@nourdanesh.ac.ir |
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Abstract: (105 Views) |
Background and Objective: Over the past five years, transmission of the dengue virus to humans by infected Aedes mosquitoes has increased significantly. Preventive methods such as developing an effective vaccine are the best option to combat dengue infection. The aim of this study is to develop chimeric vaccines against dengue viruses using immunoinformatics and molecular docking approaches.
Methods: In this in silico analysis, the genomic protein of dengue viruses was used to develop a recombinant multivalent epitope vaccine. 5 B cell lymphocyte (BCL) epitopes, 5 cytotoxic T lymphocyte (CTL) epitopes, and 5 helper T lymphocyte (HTL) epitopes, suitable adjuvant, and linkers were chosen in the structure of the final multi-epitope vaccine. The construct was analyzed computationally to predict antigenic, allergenic, and physiochemical properties as well as two- and three-dimensional structures. Finally, another analytical study was carried out by docking and in silico cloning.
Findings: Based on our findings, the designed vaccine with 320 residues has suitable antigenicity and physicochemical properties. Molecular docking simulations between the engineered vaccine construct and five Toll-like receptors (TLRs) revealed that the vaccine displays the strongest binding affinity and optimal docking conformation with TLR3 and TLR9. Furthermore, codon optimization analysis identified Escherichia coli strain K12 as a suitable host for improved linear DNA sequences.
Conclusion: Based on the results of this study, the final vaccine construct comprises 15 epitopes (5 B-cell epitopes, 5 CTL epitopes, and 5 HTL epitopes) along with an adjuvant. It is potentially antigenic and non-allergenic.
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Article number: e15 |
| Keywords: Vaccines, Dengue, Computer Simulation, Immunoinformatics, Fever, Docking. |
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Full-Text [PDF 946 kb]
(38 Downloads)
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Type of Study: Research |
Subject:
Pathology
Received: 2024/11/25 | Accepted: 2025/05/5 | Published: 2026/05/30
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