<i>In silico</i> prediction of cytotoxic T-cell epitopes from <i>Helicobacter pylori</i> virulence factors using an immunoinformatics approach.

ABSTRACT:

Background

Helicobacter pylori infects approximately half of the global population, leading to gastric and duodenal ulcers. Despite the availability of antibiotics, challenges such as patient reluctance, high treatment costs, and antibiotic resistance limit their effectiveness, making vaccination a promising alternative. This study used immunoinformatics to identify candidate epitopes for a multiepitope vaccine construct against H. pylori.

Materials and methods

The protein variability server was utilized for conservation analysis. The epitopes were screened for antigenicity, allergenicity, toxicity, cross-reactivity, and population coverage. Selected epitopes were docked with their corresponding human leukocyte antigen (HLA) alleles, and thermodynamic quantitie

SUBMITTER: Chacon DV 

PROVIDER: S-EPMC12550678 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature