【摘要】 预测EB病毒核蛋白1(EBNA-1)的B细胞优势表位,并与人体组织抗原序列比对,以分析两者匹配情况。以EBV-1型NA-1的氨基酸序列为基础,采用SOPMA、GOR和HNN方法,结合跨膜区域、亲水性等参数综合预测EBNA-1的B细胞优势表位;进一步采用blastp方法,比对分析预测的EBNA-1 B细胞表位与相关的人体组织抗原序列的匹配情况。结果提示:B细胞优势表位可能位于其N端16-23、35-78、332-337、340-357、398-404、419-432、620-637区域;其中部分表位的不同区域分别与小核糖核蛋白SmB、SmD,核蛋白SSA,不均一核糖核蛋白hnRNPA1、hnRNP G具有较高的匹配率。结果表明,用多参数预测可获得EBNA-1的B细胞优势表位,并可进一步分析其与人体组织抗原的相同或相似序列,为自身免疫性疾病的发病机制研究提供理论依据。更多还原

【Abstract】 We predict in this paper B-cell epitopes of Epstein-Barr virus nuclear antigen-1(EBNA-1) and analyze the results matched with the related autoantigens sequence of human.We selected EBV-1 standard strain NA-1 amino acid sequence as the basis.We predicted B-cell dominant epitopes of EBNA-1 with the methods of SOPMA,GOR and HNN,combined with the multi-parameter analysis of transmembrane domain,hydrophilicity profile,surface probability,antigenicity index,polarity and average flexibility.The blastp method was adopted to analyze the matched results between the predicted B-cell epitopes of EBNA-1 and the related autoantigens sequence of human.The results have shown that the possible B-cell dominant epitopes of EBNA-1 were located in the N terminal regions of 16-23,35-78,332-337,340-357,398-404,419-432 and 620-637,in which different regions gained higher scores when matched with small nuclear ribonucleoprotein SmB,SmD,ribonucleoprotein SSA,heterogeneous nuclear ribonucleoprotein hnRNP A1,hnRNP G,respectively.It was available to predict B-cell dominant epitopes of EBNA-1 with multiparameter methods and to analyze the same or similar autoantigens sequences of human,which laid a theory foundation for the study of pathogenesis,diagnosis and treatment of autoimmune diseases.更多还原