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In Silico Vaccine Design and Expression of the Multi-Component Protein Candidate against the Toxoplasma gondii Parasite from MIC13, GRA1, and SAG1 Antigens

Authors :
Zahra Hosseininejad
Ahmad Daryani
Mahdi Fasihi-Ramandi
Hossein Asgarian-Omran
Reza Valadan
Tooran Nayeri
Samira Dodangeh
Shahabeddin Sarvi
Source :
Iranian Journal of Parasitology, Vol 18, Iss 3 (2023)
Publication Year :
2023
Publisher :
Tehran University of Medical Sciences, 2023.

Abstract

Background: We aimed to design a B and T cell recombinant protein vaccine of Toxoplasma gondii with in silico approach. MIC13 plays an important role in spreading the parasite in the host body. GRA1 causes the persistence of the parasite in the parasitophorous vacuole. SAG1 plays a role in host-cell adhesion and cell invasion. Methods: Amino acid positions 73-272 from MIC13, 71-190 from GRA1, and 101-300 from SAG1 were selected and joined with linker A(EAAAK)A. The structures, antigenicity, allergenicity, physicochemical properties, as well as codon optimization and mRNA structure of this recombinant protein called MGS1, were predicted using bioinformatics servers. The designed structure was synthesized and then cloned in pET28a (+) plasmid and transformed into Escherichia coli BL21. Results: The number of amino acids in this antigen was 555, and its antigenicity was estimated to be 0.6340. SDS-PAGE and Western blotting confirmed gene expression and successful production of the protein with a molecular weight of 59.56kDa. This protein will be used in our future studies as an anti-Toxoplasma vaccine candidate in animal models Conclusion: In silico methods are efficient for understanding information about proteins, selecting immunogenic epitopes, and finally producing recombinant proteins, as well as reducing the time and cost of vaccine design.

Details

Language :
English
ISSN :
17357020 and 2008238X
Volume :
18
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Iranian Journal of Parasitology
Publication Type :
Academic Journal
Accession number :
edsdoj.803790c4b66548db86b8624d0f5e2d96
Document Type :
article