Machine learning tools used for mapping some immunogenic epitopes within the major structural proteins of the bovine coronavirus (BCoV) and for the in silico design of the multiepitope-based vaccines
Our designed multiepitope vaccine candidates per each BCoV structural protein showed high antigenicity, immunogenicity, non-allergic, non-toxic, and high-water solubility. Further studies are highly encouraged to validate the efficacy of these novel BCoV vaccines in the natural host.
Authors
- Nithyadevi Duraisamy
- Mohammed Cherkaoui
- Abid Ullah Shah (ORCID: https://orcid.org/0000-0002-1616-1410)
- Mohd Yasir Khan (ORCID: https://orcid.org/0000-0003-1107-7428)
- Reda Nacif ElAlaoui
- Maged Gomaa Hemida (ORCID: https://orcid.org/0000-0002-5986-7237)
Institutions
- Long Island University (US)
Publication Details
- Journal
- Frontiers in Veterinary Science
- Published
- 2024-10-02
- DOI
- https://doi.org/10.3389/fvets.2024.1468890
- Citations
- 6
- Primary Topic
- vaccines and immunoinformatics approaches
- Type
- article
- Field-Weighted Citation Impact
- 1.40