Supporting datasets and computational results from an optimized sliding-window reverse vaccinology pipeline for a multi-epitope vaccine against Vibrio vulnificus

This dataset contains the complete collection of raw, intermediate, and final computational outputs generated during the development of a compact multi-epitope vaccine candidate targeting Vibrio vulnificus. All files are organized by analysis module exactly as they appear in the project directory. The work follows the sliding-window epitope maximization strategy described in the associated manuscript, achieving 99.26–99.85 % theoretical global population coverage with short, overlapping B- and T-cell epitopes.The repository includes:• Pangenome/core proteome analysis (BPGA)• Virulence factor homology screening (VFDB)• B-cell epitope prediction (BepiPred) and T-cell epitope prediction (MHC class I/II)• Epitope prioritization, sliding-window optimization, and population coverage analysis (IEDB) with direct peer-study comparisons• 3D structure prediction (AlphaFold), refinement (GalaxyRefine2), disulfide engineering• Docking results for key immune receptors.