Advancing one health vaccination: In silico design and evaluation of a multi-epitope subunit vaccine against Nipah virus for cross-species immunization using immunoinformatics and molecular modeling.
Authors: Banico Edward Coralde, Sira Ella Mae Joy Sinco, Fajardo Lauren Emily, Dulay Albert Neil Gura, Odchimar Nyzar Mabeth Obenio, Simbulan Alea Maurice, Orosco Fredmoore Legaspi
Journal: PloS one
Summary
# Editorial Summary: Computational Design of a Cross-Species Nipah Virus Vaccine Given the demonstrated pandemic potential and high mortality rates of Nipah virus, the absence of licensed vaccines represents a significant public health gap—one that becomes particularly relevant to equine professionals as horses represent a potential spillover host. Researchers employed immunoinformatics and molecular modelling to computationally design a multi-epitope subunit vaccine capable of stimulating immune responses across humans, pigs, and horses, identifying peptide sequences from nine NiV proteins that would trigger B-cell, cytotoxic T-lymphocyte, and helper T-lymphocyte responses before screening candidates through molecular docking and dynamics simulations. The final vaccine construct, stabilised with a resuscitation-promoting factor E adjuvant, demonstrated structural stability when bound to toll-like receptor 4 and exhibited superior predicted antibody responses compared to six other published NiV vaccine designs—notably, all selected peptides showed compatibility with 30 major histocompatibility complex variants present across the three target species. Whilst computational validation is encouraging, the practical application of this vaccine candidate depends on rigorous in vivo and in vitro testing to confirm the immunogenicity predictions; for equine practitioners, this work signals that cross-species vaccination strategies may offer protective options should NiV transmission risks to horses become clinically significant. This computational approach exemplifies how rational vaccine design can address emerging zoonotic threats affecting multiple species simultaneously.
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Practical Takeaways
- •This is computational research only—no clinical or experimental validation has occurred yet; any application to equine practice remains theoretical and requires extensive in vivo testing
- •While equine are mentioned as a target species in the computational model, there is no equine-specific efficacy data; practitioners should await peer-reviewed experimental studies before considering vaccine relevance
- •The work demonstrates a modern rational design approach to vaccine development but does not provide actionable recommendations for current equine health management or preventive medicine
Key Findings
- •A multi-epitope subunit vaccine against Nipah virus was designed using immunoinformatics with 10 B-cell epitopes, 10 CTL epitopes, and 8 HTL epitopes screened through molecular docking and dynamics
- •The vaccine construct with RpfE adjuvant demonstrated stable interactions with TLR4 and favorable physicochemical properties across 30 MHC receptors common to humans, swine, and equine species
- •Computational simulations predicted the designed vaccine would elicit higher antibody titers than six existing multi-epitope NiV vaccine designs available in the literature
- •The cross-species vaccine design approach showed computational feasibility for targeting Nipah virus in humans, swine, and equine hosts simultaneously