A Novel Multi-epitope Vaccine Against SARS-CoV-2 Variants of Concern Strains Applying Immunoinformatics Approaches

Background: The newly emerged coronavirus, SARS-CoV-2, the causative agent of COVID-19 disease, appeared in Wuhan, China December 2019 and led to death millions people. pandemic has increased demand for effective vaccines treatments worldwide. Due changes virus genome caused by mutation, variants with higher transmission ability pathogenicity have raised excessive concerns about efficiency developed vaccines. This study aimed design a multi-epitope vaccine that targets primary SARS-CoV-2 strain its five concern using immunoinformatics approaches. Methods: B-cell, cytotoxic T lymphocytes (CTLs) helper epitopes conserved mutated surface glycoproteins were predicted These attached utilizing appropriate linkers, provoke immune response efficiently, cholera toxin B subunit was added as an adjuvant. Results: Analyses different bioinformatics softwares revealed designed vaccine’s high safety, stability, efficacy. Conclusion: In this study, tools showed specific reactivity Toll-like receptor 4. Given validation other epitope-based vaccines, our might be capable providing strong immunity wide range populations.