Design of a multi-epitope vaccine candidate of gastric cancer against Helicobacter pylori

Background: Gastric cancer and peptic ulcers can both be caused by Helicobacter pylori ( H. pylori ). So the complexity of such bacterium 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: : This investigation chose two H. pylori proteins, SabA and BabA, as epitope prediction targets. Therefore, this study used an immunoinformatics platform to create a subunit vaccine against H. pylori . The best helper T lymphocytes (HTLs) along with cytotoxic T lymphocytes (CTLs) epitopes have been chosen according to antigenicity, toxicity and allergenicity. The chosen epitopes, suitable linkers, as well as adjuvants were combined for creating a final vaccine design. The antigenicity, allergenicity, along with physicochemical traits of vaccine were assessed. Results: : The vaccine’s 3D structure has been anticipated. Molecular docking analysis along with molecular dynamics (MD) simulation were performed on multi-epitope vaccine. The vaccine candidate was in silico cloned in pET28a (+) vector. Conclusion: The results showed that final vaccine design would work well as an effective prophylactic vaccine versus H. pylori . To evaluate vaccine efficacy against the aforementioned bacteria, in vivo and in vitro trials are required.