结核分枝杆菌Rv3607c T细胞表位分布情况预测及分析

Prediction and analysis of T cell epitopes's distribution of the Mycobacterium tuberculosis Rv3607c

为了预测和分析结核分枝杆菌(MTB)Rv3607c抗原的CD4+T以及CD8+T细胞表位的分布状况,首先在NCBI数据库中获取抗原的氨基酸序列,然后使用BLAST并与人类蛋白进行同源比对;之后使用Net MHC数据库预测并分析MTB的Rv3607c抗原的CD4+T细胞表位的分布状况;再使用SYFPEITHI、NETCTL、BIMAS和Net MHC在线预测分析MTB的Rv3607c抗原CD8+T细胞表位的分布状况。结合两个表位预测结果,筛选出最终表位肽段,为后续验证试验做准备。其结果为:首先预测出MTB的Rv3607c抗原有4个CD8+T细胞候选表位;而CD4+T细胞表位的初步结果为强结合表位29个,弱结合表位183个。结合两个表位预测并分析,最终筛选出2个优势表位肽段。最后预测出的T细胞候选表位将作为结核病特异性诊断和抗结核多表位疫苗的研究根基。

To predict and analyze the distribution of CD4＋T cell and CD8＋T cell epitopes encoded by the Rv3607 c of Mycobacterium tuberculosis,We obtain the amino acid sequences by online NCBI database and analyze the homology between MTB complex and human proteins by BLAST,and predicting the distribution of CD8 T cell epitopes by SYFPEITHI、NETCTL、BIMASand Net MHC databases. After the predictiction,we can select the superior epitopes.For the results,there are 4 CD8＋T cell epitopes candidates,29 strong and 138 weak candidate CD4＋T cell epitopes candidates. In the end,two superior epitopes can be selected. Prediction of T cell epitopes will be the basis diagnosis of tuberculosis and the study of new tuberculosis vaccine.