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Immunoinformatics-driven design of a multi-epitope vaccine against nipah virus: A promising approach for global health protection
Shabbir, Muhammad Aqib Amin, Ammara Hasnain, Ammarah Shakeel, Ayesha Gul, Ambreen
Shabbir, Muhammad Aqib
Amin, Ammara
Hasnain, Ammarah
Shakeel, Ayesha
Gul, Ambreen
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2025-03-27
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Abstract
This study focuses on developing a multi-epitope vaccine against the highly pathogenic Nipah virus using immunoinformatics. It aims to design a vaccine targeting the viral nucleoprotein to elicit robust immune responses. The approach integrates epitope prediction, vaccine construction, and validation through computational tools to address the lack of effective vaccines and mitigate global health threats posed by Nipah virus outbreaks. Immunoinformatics approaches have been utilized for epitope prediction, focusing on B-cell and T-cell epitopes of the Nipah virus nucleoprotein. The multi-epitope vaccine was constructed using linkers and adjuvants to enhance immunogenicity. Structural refinement, molecular docking with human ephrin B2 receptor, and immune simulations were performed to validate the vaccine's stability, binding efficiency, and immune response potential. The designed multi-epitope vaccine exhibited high antigenicity (0.56), non-allergenicity, and non-toxicity. Docking analysis showed a strong binding affinity with the ephrin B2 receptor (binding energy: -920 kcal/mol). Immune simulations indicated significant immune responses with high IgG and IgM levels and memory B-cell activation. Population coverage analysis revealed a global coverage of 88.3 %, supporting its potential for broad immunization. The designed vaccine against the Nipah virus demonstrates promising antigenicity, stability, and strong binding with the ephrin B2 receptor. With global population coverage and a robust immune response, it holds potential for clinical development. Further experimental validation and in vitro studies are recommended to confirm its efficacy as a viable vaccine candidate for the Nipah virus. [Abstract copyright: Copyright © 2025 The Authors. Published by Elsevier Inc. All rights reserved.]
Citation
Shabbir, M. A., Amin, A., Hasnain, A., Shakeel, A., & Gul, A. (2025). Immunoinformatics-driven design of a multi-epitope vaccine against nipah virus: A promising approach for global health protection. Journal of Genetic Engineering and Biotechnology, 23(2), 100482. https://doi.org/10.1016/j.jgeb.2025.100482
Publisher
Elsevier
Journal
Journal of Genetic Engineering and Biotechnology
Research Unit
DOI
10.1016/j.jgeb.2025.100482
PubMed ID
PubMed Central ID
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Article
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Description
© 2025 The Authors. Published by Elsevier Inc. on behalf of Academy of Scientific Research and Technology.
Series/Report no.
ISSN
1687-157X
EISSN
2090-5920
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Unfunded