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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: (16 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-residue has suitable antigenicity and physicochemical properties. Molecular docking studies between the developed vaccine and 5 TLRs demonstrated that the vaccine has the best affinity and conformation with TLR3 and TLR9. Codon optimization shows that E. coli str. K12 was a suitable host for improved linear DNA sequences.
Conclusion: Based on the results of this study, the final vaccine designed is based on 15 epitopes (5 B cell epitopes, 5 CTL epitopes, and 5 HTL epitopes) and an adjuvant, is potentially antigenic, and is non-allergenic.
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| Keywords: Vaccines, Dengue, Computer Simulation, Immunoinformatics, Fever, Docking. |
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Type of Study: Research |
Subject:
Pathology Received: 2024/11/25 | Accepted: 2025/05/5
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