细粒棘球绦虫AgB1抗原表位的生物信息学预测

Bioinformatics Prediction of AgB1 Antigen Epitopes of Echinococcus granulosus

以细粒棘球绦虫AgB1基因序列为基础，采用Predict Protein软件预测其编码蛋白的二级结构；应用在线预测软件Bcepred、Abcpred、IEDB及SYFPEITHI等对细粒棘球绦虫AgB1的B细胞表位和T细胞表位进行预测。结果提示，AgB1抗原蛋白存在可以构成抗原表位的区域。经软件分析，分值高的B细胞表位区域：2～9、15～20、22～35和41～52氨基酸序列；T细胞表位区域：3-12、26～33、34～44和52-61氨基酸序列。研究运用生物信息学确定AgB1抗原的4个B细胞优势表位和4个T细胞优势表位。对进一步研究AqB1的抗原性和研发更有价值的免疫诊断方法具有重要意义。

The secondary structure, B cell and T cell epitopes for the AgB 1 antigen protein of Eehinococcus granulosus were predicted and analyzed. According to the gene sequences of AgB1 antigen, the protein secondary structure was analyzed by PredictProtein, and B cell and T cell epitopes of AgB 1 were predicted by Internet website Bcepred, Abcpred, IEDB and SYFPEITHI. The results show that many distinct antigenic epitopes of AgB1 were identified by computation, and the high scored B cell epitopes in the regions of 2-9, 15- 20, 22-35 and 41-52. The possible T cell epitopes is in the regions of 3-12, 26-33, 34-44 and 52-61. In this study it is determined that there are 4 B cell dominant epitopes and 4 T cell ones in AgB1 antigen by bioinformatics methods,which are significant in the further research of AgB1 antigenic and development of the immune diagnosis method.