Designing Multi‐Epitope Subunit Vaccine Candidate for Zika Virus Utilizing In silico Tools

Background: The arboviruses Zika virus (ZIKV) is a pathogen that threatens human health. Scientists have warned single mutation in the mosquito-borne ZIKV could spark another major outbreak of disease humans. Therefore, designing suitable vaccine for this seems necessary. This study aimed to predict protective epitopes envelope protein from with bioinformatics methods multi-epitope development. Materials and Methods: Computational studies including identification potential B-cell T-cell were used. For generating multi-epitopic construct (MEVC), selected are connected by linkers. To enhance immunogenicity, Maltosebound was added MEVC after prediction refinement 3D structure designed vaccine. binding mode toll-like receptor investigated molecular docking technique. Finally, dynamics silico cloning performed Results: showed recombinant nontoxic, nonallergenic, thermostable elicits immune responses against virus. Conclusion: computational data suggest has appropriate characteristics high-quality structure.