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本文应用生物信息学技术预测结核分枝杆菌潜伏感染相关蛋白Rv2004c的抗原表位,为结核病的诊断和疫苗研发筛选合适的抗原靶位。通过Blast分析发现Rv2004c蛋白与人类蛋白的同源性较低;采用DNAStar软件包中的Protean软件分析其二级结构、亲水性、抗原性、柔韧性及表面可能性,预测该蛋白有10个候选B细胞抗原表位;应用RANKPEP及SYFPEITHI法预测该蛋白有37个候选Th细胞抗原表位,主要位于第200位氨基酸之后,其中HLA-DRB1*0401及HLA-DRB1*0701表型相对的表位数目较多且某些候选表位的主要组织相容性复合体(MHC)限制类型存在交叉重叠;应用SYFPEITHI法、BIMAS法及NetCTL法预测该蛋白有10个候选细胞毒性T淋巴细胞(CTL)表位,其中以HLA-A2限制性表位数目较多、分值较高。由此得出结论:Rv2004c蛋白含有较多潜在的T细胞和B细胞抗原表位,可作为新的结核病诊断试剂和疫苗研发的候选靶蛋白。
In this paper, bioinformatics techniques were used to predict the epitopes of the Rv2004c protein associated with latent infection of Mycobacterium tuberculosis, and to screen suitable antigenic targets for the diagnosis and vaccine development of tuberculosis. Blast analysis revealed low homology between Rv2004c protein and human protein. Protean software was used to analyze the secondary structure, hydrophilicity, antigenicity, flexibility and surface probability of Rv2004c protein. The predicted protein was 10 Candidate B cell epitopes were predicted by RANKPEP and SYFPEITHI methods. The predicted 37 candidate Th cell epitopes were mainly located at amino acid 200, of which the HLA-DRB1 * 0401 and HLA-DRB1 * 0701 phenotype There were many overlapped MHC restriction types in some candidate epitopes and ten candidate cytotoxic T lymphocytes (CTLs) were predicted by SYFPEITHI, BIMAS and NetCTL methods ) Epitopes, of which the number of HLA-A2 restricted epitopes is more, the score is higher. This concludes that: Rv2004c protein contains more potential T cell and B cell epitopes, which can be used as candidate target proteins for new TB diagnostic reagents and vaccines.