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@article{186477,
        author = {Sakshi Jagushte and Abhishek Das},
        title = {Immunoinformatics-Based Vaccine Development for Zika Virus Control},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {12},
        number = {no},
        pages = {240-253},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186477},
        abstract = {Zika virus (ZIKV) is a significant global health concern due to its association with severe neurological complications, such as microcephaly and Guillain-Barré syndrome. In this study, we employed a computational approach to design a subunit vaccine targeting an antigenic protein. Immunogenic epitopes, known for their role in antibody neutralization, were identified and evaluated for antigenicity, allergenicity, and global population coverage. Structural modeling and molecular docking studies confirmed high-affinity binding of the selected epitopes to MHC class I and II molecules, suggesting strong potential for eliciting both humoral and cellular immune responses. The results of this in silico analysis propose promising epitope candidates for a ZIKV vaccine, warranting further experimental validation to confirm efficacy and safety.},
        keywords = {Zika virus, subunit vaccine, in silico},
        month = {},
        }