Design of a multi-epitope vaccine candidate against Helicobacter pylori in gastric cancer: an immunoinformatic approach

Background: . The complexity of such a bacterium has made it difficult to develop an effective treatment. Thus, a computational approach to developing antigenicity, stability, and safety in vaccines against this pathogen will aid in the management of related diseases. Methods: . The best helper T-lymphocyte (HTLs) along with cytotoxic T-lymphocyte (CTLs) epitopes were chosen according to antigenicity, toxicity and allergenicity. The chosen epitopes, suitable linkers, and adjuvants were combined for creating a final vaccine design. The antigenicity, allergenicity, and physicochemical traits of the vaccine were assessed. Results: The 3D structure of the multi-epitope vaccine was successfully predicted. The results of molecular docking analysis along with molecular dynamics (MD) simulation on the multi-epitope vaccine and immune receptors complex showed the structure has appropriate interaction energy between its two components and good stability. The vaccine candidate was cloned in silico in the pET28a (+) vector successfully in a suitable site. Conclusion: trials are required.