结核分枝杆菌Rv2181T、B细胞表位预测及分析

Prediction and analysis of T,B cell epitopes's distribution of the Mycobacterium tuberculosis Rv2181

预测和分析结核分枝杆菌Rv2181抗原的T细胞表位和B淋巴抗原表位的分布状况。首先从NCBI中得到蛋白的氨基酸序列,接着通过BLAST将人类蛋白和得到的序列进行同源性分析,使用SYFPEITHI对MTB中Rv2181蛋白的T淋巴细胞抗原表位,取得分在前2%的多肽作为优势抗原,然后用NETCTL、Net MHC和BIMAS等数据库预测抗原CD8^+T和CD4^+T细胞表位,综合结果筛选出优势肽段。利用Protean预测到的B细胞抗原表位,再根据IEDB、ABCpred、Bcepred等数据库预测,排除α-螺旋、β-折叠内不易形成表位的序列,将位于β-转角、无规则卷曲处的表位确定为优势表位。通过预测、分析,筛选出Rv2181抗原CD4^+T细胞表位中强结合表位120个,弱结合表位495个,综合CD4、8+T的预测,最终筛选出1个优势表位肽段,确定7条优势的B细胞抗原表位区域。预测T、B细胞候选表位为结核病诊断和治疗有重要价值。

To forecast and analyse the distribution of CD4^＋ T cell CD8^＋ T cell and B epitope encoded by the Rv2181 of Mycobacterium tuberculosis. First obtain the protein amino acid sequence from NCBI detabase,and then analyse its homology with human proteins sequence and homology. Using SYFPEITHI to analyse T cell antigen epitope, choo-sing the points in the top 2% as advantage epitope. Then using NETCTL, NetMHC and BIMAS database to predict CD8^＋ T CD4^＋ T cell epitope, to screen out advantage peptides from prediction results. Protean are used to get the predicted B cell antigen epitope, and according to IEDB, ABCpred, Bcepred detabases, eliminate the sequences which have alpha helix, beta - fold,but choose the sequences in beta angle, the table level random curl as advan-tage epitope. By predicting, there are 120 strong and 495 candidates epitope in CD4^＋ T cell. In the end, select one dominant epitope, and determine 7 B cell advantages antigen epitope area. The prediction of T , B cells in the diag-nosis and treatment of tuberculosis is of improtant value.