Bioinformatics prediction on glutathione S-transferase antigen epitopes of Echinoccocus granulosus
10.3969/j.issn.1673-4130.2015.13.007
- VernacularTitle:细粒棘球蚴 GST 抗原表位的生物信息学预测?
- Author:
Zongji LI
;
Yuankui CHU
;
Xin YU
;
Shuqin DING
;
Xueying LIU
;
Wei ZHAO
- Publication Type:Journal Article
- Keywords:
Echinoccocus granulosus;
glutathions S-transferase;
antigenic epitope;
bioinformatics
- From:
International Journal of Laboratory Medicine
2015;(13):1818-1820
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyse the secondary structure of glutathions S-transferase of Echinoccocus granulosus(EgGST)and predict the B cell and T cell epitopes with informatics tools,in order to provide basic data and references for the following design of epitope vaccine.Methods The B cell and T cell epitopes of EgGST were predicted by DNAstar,Biosun software and Propred MHC class-Ⅱ Binding Peptide Prediction Server software.Results Many distinct antigenic epitopes of EgGST were identified by comput-er,there existed 8 B cell epitopes and 7 T cell epitopes.Conclusion Analysis of predicted epitopes of EgGST antigenic might be sig-nificant for future research of epitope vaccine.
