Finding a T-cell epitope for a melanoma vaccine by an immunomics technique

The identification of tumor-associated T cell epitopes has contributed significantly to the understanding of the interrelationship of tumor and immune system and is instrumental in the development of therapeutic vaccines for the treatment of cancer. Here, the author reports preliminary data from the computation analysis of available Homo sapiens melanoma associate antigen to find potential T-cell epitopes using bioinformatics tool namely MHCPred. Using computational algorithm, we predicted the most potential T cell epitope from known melanoma associated antigen. This data are useful for further vaccine development because these promiscuous peptide binders allows to minimize the total number of predicted epitopes without compromising the population coverage required in the design of multi-epitope vaccines.