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.

中文翻译：

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PSMA的新型预测B细胞表位用于前列腺癌疫苗的开发

前列腺癌是世界上最常见的癌症之一。疫苗是预防这种癌症的新希望。对于前列腺癌，PSMA被认为是疫苗开发的目标。在这里，使用新的生物信息学工具描述了对前列腺膜这种特定抗原进行计算分析以发现潜在的B细胞表位的初始数据。根据结果​​，673RHVIYAPSSHNKYAGE25是具有最佳结合亲和力的肽。这些数据可能对有效的疫苗开发有用。