ArticleJournal, genetic engineering & biotechnology2023
Immunoinformatics study to explore dengue (DENV-1) proteome to design multi-epitope vaccine construct by using CD4+ epitopes.
Article in Journal, genetic engineering & biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Development of a potential vaccine against dengue and chikungunya virus co-infection using immunoinformatics and structural evaluation.Journal, genetic engineering & biotechnology · 2026Article
- Computational design of an mRNA vaccine targeting antifungal-resistant Lomentospora prolificans.Scientific reports · 2025Article
- Immunoinformatics-driven design of a multi-epitope vaccine against nipah virus: A promising approach for global health protection.Journal, genetic engineering & biotechnology · 2025Article
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2 authors.
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Abstract
backgroundImmunoinformatics is an emerging interdisciplinary field which integrates immunology, bioinformatics, and computational biology to study the immune system. In this study, we apply immunoinformatics approaches to explore the dengue proteome in order to design a multi-epitope vaccine construct.
methodsWe used existing databases and algorithms to predict potential epitopes on dengue proteins and used a bioinformatics approach to identify the most promising epitopes. We then used molecular modelling to develop a multi-epitope construct which could be used as a potential vaccine. The results of this study demonstrate that immunoinformatics is a powerful tool for exploring and designing potential vaccines for infectious diseases like dengue.
resultsHere, we found four CD4+ epitopes NLKYSVIVTVHTGDQ, ANPIVTDKEKPVNIE, LDPVVYDAKFEKQL, and VGAIALDFKPGTSGS that were used to design vaccine construct. The vaccine construct docked with TLR5. RMSD values suggest that docked complex of TLR5 and vaccine construct have putative stable interaction to induce immunogenic effects on host.
conclusionsFurthermore, our study provides a proof of concept for the use of immunoinformatics approaches in DENV vaccine design. This vaccine can be effective in treating patients infected with DENV virus.
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