Wiwanitkit Viroj
Department of Laboratory Medicine, Chulalongkorn University, Bangkok, Thailand.
Asian Pac J Cancer Prev. 2007 Jan-Mar;8(1):137-8.
Breast cancer is one of the most common cancers in the world and is on the increase. Vaccines are new hopes for primary prevention of this cancer. In the breast cancer case, HER2 is a focus as a target for vaccine development. Here, preliminary data from a computation analysis of this outer membrane protein to find potential B-cell epitopes are described using a new bioinformatics tool. According to the results, 947SRMARDPQRFVVIQNE262 is the peptide with the best binding affinity. These data may be useful for further vaccine development because promiscuous peptide binders allow the total number of predicted epitopes to be minimized without compromising the population coverage required in the design of vaccines.
乳腺癌是世界上最常见的癌症之一，且发病率正在上升。疫苗是这种癌症一级预防的新希望。在乳腺癌病例中，HER2作为疫苗开发的靶点备受关注。在此，使用一种新的生物信息学工具描述了对这种外膜蛋白进行计算分析以寻找潜在B细胞表位的初步数据。根据结果，947SRMARDPQRFVVIQNE262是具有最佳结合亲和力的肽段。这些数据可能对进一步的疫苗开发有用，因为混杂肽结合物能够在不影响疫苗设计所需人群覆盖率的情况下，使预测表位的总数降至最低。
