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目的通过生物信息学技术预测细粒棘球绦虫Eg18抗原B、T细胞表位,为细粒棘球绦虫筛选具有保护性抗原表位的抗原提供理论基础。方法使用Expasy系统预测理化性质;二、三级结构的预测使用在线预测网站Predict Protein;通过在线软件ABCpred、LEPS结合二级结构、亲水性指数、表面可及性指数、柔韧性指数对B细胞表位进行预测;应用SYFPEITHI及IEDB软件预测MHC-Ⅰ类HLA-A0201限制性T细胞表位。结果 Eg18抗原二级结构中α-螺旋结构占氨基酸残基总数的98.1%,无规则卷曲占1.9%,无β-折叠结构;选出具有优势的30~41、55~71、110~126、136~144四个可能为Eg18蛋白B细胞表位的氨基酸序列区域;17~27、32~41、61~72、96~105四个较有可能形成T抗原表位的氨基酸序列区域。结论通过生物信息学预测Eg18抗原可能有4个B细胞表位且为构象表位,有4个T抗原表位,可为进一步了解Eg18抗原提供参考。
Objective To predict the epitopes of Eg18 antigen B and T cell of Echinococcus granulosus by bioinformatics techniques and to provide a theoretical basis for screening Echinococcus granulosus antigen with protective epitope. Methods Predasy Protein was predicted by Expasy system. Predict Protein was used to predict the secondary and tertiary structures. By online software ABCpred, LEPS combined with secondary structure, hydrophilicity index, surface accessibility index and flexibility index, Epitopes were predicted; HLA class A HLA-A0201 restricted T cell epitopes were predicted using SYFPEITHI and IEDB software. Results The α-helical structure of Eg18 antigen accounted for 98.1% of the total number of amino acid residues and 1.9% of random curl. No β-sheet structure was found in the secondary structure of Eg18 antigen. 30 ~ 41, 55 ~ 71, 110 ~ 126, 136-144 may be amino acid sequence regions of Eg18 protein B cell epitopes; and four amino acid sequence regions of 17-27, 32-41, 61-72, 96-105 which are more likely to form T epitopes. Conclusion Bioinformatics prediction of Eg18 antigen may have 4 B-cell epitopes and conformational epitopes with 4 T-antigen epitopes, which may provide a reference for further understanding Eg18 antigen.