(2021) Insights into the biochemical features and immunogenic epitopes of common bradyzoite markers of the ubiquitous Toxoplasma gondii. Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases. p. 105037. ISSN 1567-7257 (Electronic) 1567-1348 (Linking)
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Abstract
The widespread distribution of Toxoplasma gondii (T. gondii) infection and its harsh outcomes in pregnant women and immunocompromised patients lead researchers towards vaccination strategies. The present in silico investigation was done to reveal biophysical properties and immunogenic epitopes of six bradyzoite markers for rational vaccine design in future. For this purpose, different web servers were used to predict antigenicity, allergenicity, solubility, physicochemical properties, post-translational modification sites (PTMs), the presence of signal peptide and transmembrane domains. Moreover, the secondary and tertiary structures of the proteins were revealed followed by refinement and validation. Finally, NetCTL server was used to predict cytotoxic T-lymphocyte (CTL) epitopes, with subsequent immunogenicity analysis. Also, IEDB server was utilized to predict helper T-lymphocyte (HTL) epitopes, followed by IFN-gamma and IL-4 induction, antigenicity and population coverage analysis. As well, several linear antigenic B-cell epitopes were found, with good water solubility and without allergenicity. Totally, these proteins showed appropriate antigenicity, abundant PTMs as well as many CTL, HTL and B-cell epitopes, which could be directed for future vaccination studies in the context of multi-epitope vaccine design.
Item Type: | Article | ||||||||||||||||
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Keywords: | Bradyzoite markers Immunogenic epitopes Immunoinformatics Toxoplasma gondii | ||||||||||||||||
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Page Range: | p. 105037 | ||||||||||||||||
Journal or Publication Title: | Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases | ||||||||||||||||
Journal Index: | Pubmed | ||||||||||||||||
Volume: | 95 | ||||||||||||||||
Identification Number: | https://doi.org/10.1016/j.meegid.2021.105037 | ||||||||||||||||
ISSN: | 1567-7257 (Electronic) 1567-1348 (Linking) | ||||||||||||||||
Depositing User: | مهندس مهدی شریفی | ||||||||||||||||
URI: | http://eprints.medilam.ac.ir/id/eprint/3628 |
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