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结核分枝杆菌RD1区T细胞表位分布情况预测及分析
引用本文:姚翠梅,孙长江,张智勇,赵娅娅,刘珊珊,刘宏,韩文瑜.结核分枝杆菌RD1区T细胞表位分布情况预测及分析[J].安徽农业科学,2011,39(25):15218-15221.
作者姓名:姚翠梅  孙长江  张智勇  赵娅娅  刘珊珊  刘宏  韩文瑜
作者单位:吉林大学畜牧兽医学院,吉林长春,130062;长春市传染病医院,吉林长春,130123;吉林大学军需科技学院,吉林长春,130062;辽宁省海城市南台镇南台兽医站,辽宁海城,114200
基金项目:国家科技重大专项子课题
摘    要:目的]对结核分枝杆菌RD1区T细胞表位分布情况进行预测和分析。方法]利用NetMHC server生物信息学软件,以和HLA-Ⅱ和HLAⅠ-类分子结合能力为指标,分别对结核分枝杆菌RD1区9个编码蛋白进行T细胞抗原表位预测。结果]通过预测,共获得和HLA-Ⅱ类分子结合的抗原表位1 580个和HLA-Ⅰ类分子结合的抗原表位336个。结论]预测获得的T细胞抗原表位将对结核病特异性检测及新的结核疫苗研发起到借鉴作用。

关 键 词:RD1区:NetMHC  server:HLA-Ⅰ类分子  HLA-Ⅱ类分子

Analysis of Predicted T Cell Epitopes from Proteins Encoded by the Specific RD1 Region of Mycobacterium tuberculosis
Institution:YAO Cui-mei et al(College of Animal Science and Veterinary Medicine,Jilin University,Changchun,Jilin 130062)
Abstract:Objective] The study aimed at predicting the T cell epitopes from proteins encoded by the specific RD1 region of Mycobacterium tuberculosis.Method] By using bioinformatics software NetMHC server,all possible peptides sequences from RD1 region of M.tuberculosis were analyzed in silico for the ability to bind to 34 alleles of class I HLA and 9 alleles of class II HLA.Result] 1 580 peptides binding to 9 alleles of class II HLA and 336 peptides binding to 34 alleles of class I were obtained by predication.Conclusion] Identification of T cell epitopes from the proteins encoded by RD1 region may serve to define candidate antigens with potentials in specific diagnosis and development of new vaccines against TB.
Keywords:RD1 region  NetMHC server  Class I HLA  Class II HLA
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