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@article{186558,
        author = {Bhakti Zanzrukiya and Abhishek Das},
        title = {Immunoinformatics-Based Multi-Epitope Vaccine Design for Crimean-Congo Hemorrhagic Fever in Cattle},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {12},
        number = {no},
        pages = {464-472},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186558},
        abstract = {Crimean-Congo Hemorrhagic Fever (CCHF) is a serious viral illness with no licensed vaccine. In this study we employ an in-silico approach to design a potential vaccine against the CCHF virus in cattles. Utilizing immunoinformatics methodologies, we systematically identified critical protein epitopes by evaluating their antigenicity and allergenicity. These candidate antigens were subsequently analyzed for their ability to elicit immune responses, with a particular focus on mapping T-cell and B-cell epitopes, identified using the Immune Epitope Database (IEDB) and assessed with Vaxijen. Molecular docking tools like ClusPro are utilized to analyze the binding interactions between the epitopes and immune receptors like TLRs. This research aims to advance the field of computational vaccinology and add to the groundwork for developing an effective vaccine against CCHF affecting the cattle, which could ultimately help reduce the human transmission.},
        keywords = {CCHFV, Crimean-Congo hemorrhagic fever, Immunoinformatics, In silico vaccine, cattles.},
        month = {},
        }