Abstract
Prostate cancer is one of the most common cancers around the world. Vaccines are a new hope for prevention of this cancer. In the case of prostate cancer, PSMA is considered as a target for vaccine development. Here, the initial data from the computational analysis of this specific antigen of the prostate membrane to find potential B-cell epitopes are described using a new bioinformatic tools. Based on the results, 673RHVIYAPSSHNKYAGE25 is the peptide with best binding affinity. These data may be useful for the effective vaccines development.
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