DISCOVERY OF ANTIGEN EPITOPES USING BIOINFORMATICS IN THE DEVELOPMENT OF MRNA VACCINES AGAINST TUBERCULOSIS
Keywords:
Tuberculosis (TB), mRNA vaccines, Bioinformatics, Antigen epitopes. Epitope prediction, Computational modeling, multi-epitope design, IEDB. NetMHCpan, Discotope, Mycobacterium tuberculosis (Mtb), Machine learning, Personalized vaccines, Immunoinformatics.Abstract
Tuberculosis (TB) remains a major global health challenge, necessitating innovative vaccine strategies. Bioinformatics has emerged as a key tool in the identification of antigen epitopes for next-generation mRNA vaccines. By leveraging computational approaches, researchers can pre dict immunodominant epitopes, optimize vaccine design, and accelerate vaccine development. This review highlights recent advancements in bioinformatics-driven epitope discovery for TB, detailing computational strategies used for antigen selection and their role in mRNA vaccine technology.
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