Prediction and research on homology of B-cell epitopes of Epstein-Barr virus nuclear antigen-1.
- Author:
Lingling LI
1
;
Shanli ZHU
;
Wenshu LI
;
Xiangyang XUE
;
Lifang ZHANG
Author Information
1. Department of Microbiology & Immunology, Wenzhou Medical College, Wenzhor 325000, China.
- Publication Type:Journal Article
- MeSH:
Amino Acid Sequence;
Autoantigens;
immunology;
Base Sequence;
Epitopes, B-Lymphocyte;
immunology;
Epstein-Barr Virus Nuclear Antigens;
immunology;
Humans;
Molecular Sequence Data;
Sequence Homology, Amino Acid
- From:
Journal of Biomedical Engineering
2011;28(2):371-375
- CountryChina
- Language:Chinese
-
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.
