Computational design and population-level evaluation of a multi-epitope Andes virus vaccine candidate

Abstract

Andes virus (ANDV) causes hantavirus cardiopulmonary syndrome and remains an important target for vaccine development. This study presents the computational design and evaluation of an in-silico multi-epitope ANDV vaccine candidate. The analysis integrates class-I and class-II peptide–HLA prediction, reduction of overlapping predictions to non-redundant candidate regions, sequence-conservation analysis, human-proteome sequence comparison, and genotype-based population-coverage modeling. The resulting candidate combines selected T-cell components with secondary B-cell-directed elements and is characterized computationally across these analytical dimensions. The work is intended as an openly accessible research resource for further computational study, teaching, independent scrutiny, and future experimental investigation.