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BioinformaticsInternational Journal of Peptide Research and Therapeutics
Peer-reviewed journal article

Designing a novel multi-epitope T vaccine for \"targeting protein for Xklp-2\" (TPX2) in hepatocellular carcinoma based on immunoinformatics approach

Parisa GhahremanifardiD, Farzaneh AfzaliiD, Amin Rostami, Zahra NayeriiD, Bijan BambaiiD, Zarrin MinuchehriD

Abstract

Hepatocellular carcinoma (HCC) is one of the leading cancer-related deaths worldwide. Recently, studies for HCC treatment are focused on cancer immunotherapy, particularly cancer vaccines, to complete and assist other therapies. TPX2 is a microtubule-associated protein necessary for cell division; therefore, alteration in its expression, especially up regulation, is associated with several human carcinomas such as HCC.\n\nIn this study, immunoinformatics tools were used to design a rational multi-epitope T vaccine against TPX2 in HCC. Cytotoxic T lymphocytes (CTL) and Helper T lymphocytes (HTL) epitopes were predicted and Maltose-binding protein (MBP) was added to the construct as an adjuvant. Evaluation of vaccine properties was indicated that our construct is stable and immunogenic enough to induce relevant responses besides not being allergic. After predicting the tertiary structure and energy minimization, protein-protein docking was performed to calculate the free energy of possible interactions between the vaccine and toll-like receptor 4 (TLR4) to assure that simultaneous complementary responses would be activated by our construct. Finally, Codon optimization and in-silico cloning were performed to ensure the vaccine expression efficiency in the desired host.

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Citations
16
FWCI
0.25
Field percentile
49th percentile

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