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Design and computational analysis of an effective multi-epitope vaccine candidate using subunit B of cholera toxin as a build-in adjuvant against urinary tract infections.
- Source :
-
BioImpacts . Jan2024, Vol. 14 Issue 1, p1-13. 13p. - Publication Year :
- 2024
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Abstract
- Introduction: Urinary tract infection (UTI) is one of the most common infections, usually caused by uropathogenic Escherichia coli (UPEC). However, antibiotics are a usual treatment for UTIs; because of increasing antibiotic-resistant strains, vaccination can be beneficial in controlling UTIs. Using immunoinformatics techniques is an effective and rapid way for vaccine development. Methods: Three conserved protective antigens (FdeC, Hma, and UpaB) were selected to develop a novel multiepitope vaccine consisting of subunit B of cholera toxin (CTB) as a mucosal build-in adjuvant to enhance the immune responses. Epitopes-predicted B and T cells and suitable linkers were used to separate them and effectively increase the vaccine's immunogenicity. The vaccine protein's primary, secondary, and tertiary structures were evaluated, and the best 3D model was selected. Since CTB is the TLR2 ligand, molecular docking was made between the vaccine protein and TLR2. Molecular dynamic (MD) simulation was employed to evaluate the stability of the vaccine proteinTLR2 complex. The vaccine construct was subjected to in silico cloning. Results: The designed vaccine protein has multiple properties in the analysis. The HADDOCK outcomes show an excellent interaction between vaccine protein and TLR2. The MD results confirm the stability of the vaccine protein- TLR2 complex during the simulation. In silico cloning verified the expression efficiency of our vaccine protein. Conclusion: The results of this study suggest that our designed vaccine protein could be a promising vaccine candidate against UTI, but further in vitro and in vivo studies are needed. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 22285652
- Volume :
- 14
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- BioImpacts
- Publication Type :
- Academic Journal
- Accession number :
- 174704867
- Full Text :
- https://doi.org/10.34172/bi.2023.27513