Therapeutic Multi-Epitope Vaccine Construction Using in Silico Strategies Against Hepatocellular Carcinoma
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Abstract
Hepatocellular carcinoma is a chronic infection with progressing symptoms leading to an advanced stage with no effective therapy other than liver transplantation. Recent studies suggest that drugs such as sorafenib and lenvatinib however can provide some relief to the disease but have failed to provide complete protection. Thus considering all the facts, this study is conducted with an immunoinformatics approach targeting XIAP protein which is the key protein involved in the mechanism of Hepatocellular carcinoma (HCC) disease. The screening of the targeted genome sequence was performed to acquire CTL, HTL, and B-cell epitopes through different tools such as NetMHCPred, NetMHCPan, and BepiPred tool leading to the potential candidates for multi-epitope vaccine. Meanwhile, we also found the physiochemical, immunogenic and allergenicity scores of the filtered epitopes and these epitopes were found to be highly antigenic and immunogenic after validation of all the parameters. Meanwhile, the addition of adjuvant and linkers led to the formation of a strong vaccine construct and therefore the binding force between the final vaccine construct with protein through docking obtained was -905.7kcal/mol. Further in silico cloning and expression of the designed vaccine into the plasmid vector also depicted the good performance of designed vaccine thus making it a good choice for the novel vaccine. Henceforth, a potential therapeutic multi-epitope vaccine construct was found to be efficient and thus can be a promising vaccine that could induce strong immunity against Hepatocellular carcinoma.
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References
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