A Novel Multi-Epitope Vaccine For Cross Protection Against Hepatitis C Virus (HCV): An Immunoinformatics Approach

Background: Hepatitis C virus (HCV) causes acute and chronic human hepatitis infections. Due to the high genetic diversity and high rates of mutations in the genetic material so far there is no approved vaccine against HCV. Materials and Methods: The aim of this study was to determination B and T cell conserved epitopes of E۱ and E۲ proteins from HCV and construction of a chimeric peptide as a novel epitope based vaccine for cross-protection against the virus. For this, one B and T-cell epitope from both E۱ and E۲ which was predicted by EPMLR and Propred-۱ server and had the highest score and antigenicity in VaxiJen ۲.۰ and PAP servers were selected for construction of chimeric protein as a multi-epitope vaccine. Results: The results of this study showed that the chimeric peptide had high antigenicity score and stability.Results also showed that most epitopes of E۱ were located in two spectra consist of (۴۵-۶۵,۸۸-۱۰۷ and ۱۴۸-۱۸۲) while the results about B-cell epitopes of E۲ showed that this protein had much less epitope than E۱. The most epitope predicted for E۲ were located in (۱۲-۲۴ and ۳۵-۵۴) spectra Conclusion:  In conclusion, epitope based vaccine which was designed by immunoinformatics methods could be considered as a novel and effective vaccine for cross-protection against HCV infection.

Keywords:

Hepatitis C virus , Immunoinformatics , Epitope prediction