The identification of tumor-associated T cell epitopes has contributed significantly to the understanding of theinterrelationship of tumor and immune system and is instrumental in the development of therapeutic vaccines forthe treatment of cancer. Here, the author reports preliminary data from the computation analysis of available Homosapiens 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 associatedantigen. This data are useful for further vaccine development because these promiscuous peptide binders allows tominimize the total number of predicted epitopes without compromising the population coverage required in thedesign of multi-epitope vaccines.
)