Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{186476,
        author = {Bindi Shah and Abhishek Das},
        title = {Designing an in silico multi-epitope vaccine against the Sidney strain (GII.4) of Norovirus using immunoinformatics approaches},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {12},
        number = {no},
        pages = {228-239},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186476},
        abstract = {Norovirus is a major cause of acute gastroenteritis globally and poses a serious threat to public health due to its high transmissibility and antigenic diversity. The genetic variability of the virus makes traditional vaccine development difficult. This study employs an in silico-based approach to design a multi-epitope subunit vaccine against Norovirus. Utilizing immunoinformatics, we identified key protein epitopes based on antigenicity. The capacity of these potential antigens to elicit immune responses was then evaluated, with an emphasis on T-cell and B-cell epitope mapping. Molecular docking and dynamics simulations were employed to analyze the structural conformation of epitopes and predict their interaction with immune receptors. The computational pipeline identifies promising antigens for a potential vaccine against Norovirus, demonstrating the potential of in silico methods in revolutionizing vaccine design and contributing to global efforts.},
        keywords = {Epitope prediction, immunoinformatics, in silico vaccine design, multi-epitope vaccine, Norovirus},
        month = {},
        }