Immunoinformatics-driven design of a multi-epitope vaccine against nipah virus: A promising approach for global health protection

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.]