A novel in-silico approach to design a multiepitope peptide as a vaccine candidate for

Introduction: Methods: Servers and bioinformatics tools were used to find and evaluate vaccine candidates. The bacterial genome was extracted and open reading frames were identified. The toxicity, allergenicity, immunogenicity, and homology of ORFs were investigated and non-toxic, non-allergenic with highly immunogenic were selected as a candidate for vaccine design. Next, epitopes were predicted and combined with adjuvants, linkers, and his-tag to create the vaccine candidate. Afterward, a thorough assessment of the vaccine was carried out. Results: After the investigations, an extracellular protein with access number WP_045528985.1 was selected as a vaccine candidate. Combining a total of 15 epitopes for B cells and T cells, the vaccine candidate was completed. The analysis showed that the structure of the vaccine is non-toxic, non-allergenic, and has a favorable immunogenicity score of 0.8573. Additionally, the designed vaccine passed all virtual tests, including analysis of physical and chemical characteristics, and valuations of secondary and tertiary structure. Conclusion: According to the results, this multiepitope peptide can be used as a promising vaccine candidate which warrants further development. Furthermore, further investigation is required to examine the functional characteristics, in vitro and in vivo experiments, potential applications, and animal model studies to confirm the safety, effectiveness, and long-term impacts of the vaccine formulation.