Back to Search
Start Over
In silico design of a novel multi-epitope vaccine against HCV infection through immunoinformatics approaches.
- Source :
-
International Journal of Biological Macromolecules . May2024:Part 2, Vol. 267, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- Infection with the hepatitis C virus (HCV) is one of the causes of liver cancer, which is the world's sixth most prevalent and third most lethal cancer. The current treatments do not prevent reinfection; because they are expensive, their usage is limited to developed nations. Therefore, a prophylactic vaccine is essential to control this virus. Hence, in this study, an immunoinformatics method was applied to design a multi-epitope vaccine against HCV. The best B- and T-cell epitopes from conserved regions of the E2 protein of seven HCV genotypes were joined with the appropriate linkers to design a multi-epitope vaccine. In addition, cholera enterotoxin subunit B (CtxB) was included as an adjuvant in the vaccine construct. This study is the first to present this epitopes-adjuvant combination. The vaccine had acceptable physicochemical characteristics. The vaccine's 3D structure was predicted and validated. The vaccine's binding stability with Toll-like receptor 2 (TLR2) and TLR4 was confirmed using molecular docking and molecular dynamics (MD) simulation. The immune simulation revealed the vaccine's efficacy by increasing the population of B and T cells in response to vaccination. In silico expression in Escherichia coli (E. coli) was also successful. • This study focused on designing a multi-epitope vaccine against HCV. • The conserved regions of the E2 protein were used to predict epitopes. • A vaccine was constructed by joining epitopes, linkers, and an adjuvant. • The vaccine was found to be antigenic, non-toxic, and non-allergenic. • The vaccine revealed a stable molecular interaction with innate immune receptors. [ABSTRACT FROM AUTHOR]
- Subjects :
- *HEPATITIS C
*CHOLERA toxin
*ESCHERICHIA coli
Subjects
Details
- Language :
- English
- ISSN :
- 01418130
- Volume :
- 267
- Database :
- Academic Search Index
- Journal :
- International Journal of Biological Macromolecules
- Publication Type :
- Academic Journal
- Accession number :
- 177036456
- Full Text :
- https://doi.org/10.1016/j.ijbiomac.2024.131517