An immunoinformatics approach in designing high-coverage mRNA multi-epitope vaccine against multivariant SARS-CoV-2.

ABSTRACT:

Background

Despite the decreasing cases, SARS-CoV-2, with its endemic status, still threatens public health, and developing a variant-proof vaccine could be a promising strategy to prevent future infection. In this study, utilizing immunoinformatics and reverse vaccinology, we aimed to develop a multi-epitope mRNA vaccine with high population coverage, targeting multiple variants of SARS-CoV-2.

Methods

To design a multivariant vaccine, 20,567 sequences consisting of all SARS-CoV-2's variants of concern whole genome were retrieved. Utilizing an immunoinformatics approach, the selected antigens spike and nucleocapsid proteins were analyzed to predict linear B lymphocyte (LBL), helper T lymphocyte (HTL), and cytotoxic T lymphocyte (CTL) epitopes. These epitopes were evaluated b

SUBMITTER: Giri-Rachman EA 

PROVIDER: S-EPMC12226046 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature