2026-10-11T02:42:02Z https://www.scidb.cn/oai

10.57760/sciencedb.29270 2026-03-09T09:51:47Z

2026-03-09 Supporting datasets and computational results from an optimized sliding-window reverse vaccinology pipeline for a multi-epitope vaccine against Vibrio vulnificus doi:10.57760/sciencedb.29270 en 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. reverse vaccinology; Vibrio vulnificus; multi-epitope vaccine; B-cell epitope; T-cell epitope; HLA population coverage; bioinformatics; vaccine design Yifeng Qiao Gang Li Chao Li Yan Zhao Jing Zhou Yingying Tan Ming Li PUBLIC https://creativecommons.org/licenses/by-nc/4.0/ dataset Science Data Bank