Immunoinformatic Execution and Design of an Anti-Epstein–Barr Virus Vaccine with Multiple Epitopes Triggering Innate and Adaptive Immune Responses
Microorganisms · 10 authors, 11 centres
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This in silico study computationally designed a multi-epitope vaccine candidate targeting Epstein-Barr virus (EBV) glycoproteins. The designed construct was predicted to be antigenic, non-allergenic, and non-toxic, and to elicit both innate and adaptive immune responses in silico.
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The vaccine construct was analyzed for its physicochemical properties, showing it was antigenic, non-allergenic, and non-toxic. Population coverage analysis predicted the vaccine would cover 70.59% of the Malaysian population and 93.98% of the world population. Immune simulations suggested the candidate could trigger short-lived innate and long-lasting adaptive immune responses. The study is a dry-lab, computational design and does not include any wet-lab, animal, or human experiments. Its primary limitation is the lack of experimental validation, and the findings are theoretical predictions requiring further in vitro and in vivo studies for confirmation.