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Albany 2019: 20th Conversation - Abstracts

category image Albany 2019
Conversation 20
June 11-15 2019
Adenine Press (2019)

Cancer Vaccine Designing and Optimization using Combined Immunoinformatics and Molecular Dynamics Simulation Approach

Cancer immunotherapy comes out to be an outstanding treatment for cancer treatment and prevention. Cancer vaccines are responsible for generating immune response to eliminate cancer cells, being given to cure cancer. In silico techniques has brought efficient way to develop vaccines, as these take less time to predict potential peptide epitope nonamers (Buhrman et al., 2013; Neeraj et al., 2017). In this study, we have designed a potent vaccine candidate for cancer using immunoinformatics approaches. Cytotoxic T-lymphocyte epitope as a Peptide vaccine was designed to elicit a desirable immune response against cancers, overexpressing melanoma-associated antigen-A11 (MAGE-A11). Potent epitope was predicted using reliable algorithms and validated with HLA-A*0201 and androgen receptor interaction (Henderson et al., 2005; Dong et al 2004).

Our results showed a potent vaccine candidate “KIIDLVHLL” designed out of top ten epitope epitopes predicted using five different algorithms. Furthermore, epitope was validated with molecular docking resulted in strong binding with HLA-A*0201 and androgen receptor with docking score -780.6 kcal/mol and -641.06 kcal/mol respectively. Lead epitope showed the remarkable result with strong interactions (hydrogen bonds and hydrophobic interactions), the radius of gyration score of 23.0777 Å, world population coverage of 39.08% by immune epitope database and TAP affinity IC50 value of 2039.65 nm. This study paves the way to potential vaccine candidate for the prevention of cancer.

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References
    Buhrman. J.D., Slansky. J.E. Improving T cell responses to modified peptides in tumor vaccines. Immunologic research, 2013; 55(1-3), 34-47.

    Neeraj K., Chugh H., Tomar R., Tomar V., Singh VK. and Chandra R. Exploring the interplay between autoimmunity and cancer to find the target therapeutic hotspots. Artif Cells Nanomed Biotechnol, 2017. 46 (4)658-668.

    Henderson. R.A., Mossman. S., Nairn. N., Cheever. M.A. Cancer vaccines and immunotherapies: emerging perspectives. Vaccine, 2005; 23(17), 2359-2362.

    Dong. H.L., Li. Z.S., Ye. J. et al. Identification of HLA-A2-restricted CTL epitope encoded by the MAGE-n gene of human hepatocellular carcinoma. Cancer Biol Ther. 2004; 3(9):891-8.

Neeraj Kumar and
Ramesh Chandra

Department of Chemistr
University of Delhi
Delhi 110007, India

Nan.neeraj@gmail.com,
acbrdu@hotmail.com