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In Silico Design and Immunoinformatics Analysis of a Chimeric Vaccine Construct Based on Salmonella Pathogenesis Factors Publisher Pubmed



Jafari Najaf Abadi MH1 ; Abdi Abyaneh F2 ; Zare N3 ; Zamani J4 ; Abdoli A2, 5 ; Aslanbeigi F2, 5 ; Hamblin MR6 ; Tarrahimofrad H4 ; Rahimi M7, 8 ; Hashemian SM9 ; Mirzaei H10
Authors
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Authors Affiliations
  1. 1. Research Center for Health Technology Assessment and Medical Informatics, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
  2. 2. School of Medicine, Kashan University of Medical Sciences, Kashan, Iran
  3. 3. Faculty of Pharmacy, International Campus, Tehran University of Medical Science, Tehran, Iran
  4. 4. Department of Animal Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran
  5. 5. Student Research Committee, Kashan University of Medical Sciences, Kashan, Iran
  6. 6. Laser Research Centre, Faculty of Health Science, University of Johannesburg, Doornfontein, 2028, South Africa
  7. 7. Infectious Diseases Research Center, Faculty of Medicine, Kashan University of Medical Sciences, Kashan, Iran
  8. 8. Department of Microbiology and Immunology, Faculty of Medicine, Kashan University of Medical Sciences, Kashan, Iran
  9. 9. Chronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Disease, Shahid Beheshti University of Medical Sciences, Tehran, 1983535511, Iran
  10. 10. Research Center for Biochemistry and Nutrition in Metabolic Diseases, Institute for Basic Sciences, Kashan University of Medical Sciences, Kashan, Iran

Source: Microbial Pathogenesis Published:2023


Abstract

Currently, there are two vaccines based on killed and/or weakened Salmonella bacteria, but no recombinant vaccine is available for preventing or treating the disease. We used an in silico approach to design a multi-epitope vaccine against Salmonella using OmpA, OmpS, SopB, SseB, SthA and FilC antigens. We predicted helper T lymphocyte, cytotoxic T lymphocyte, and IFN-γ epitopes. The FilC sequence was used as a bovine TLR5 agonist, and the linkers KK, AAY, GPGPG and EAAAK were used to connect epitopes. The final sequence consisted of 747 amino acid residues, and the expressed soluble protein (∼79.6 kDa) was predicted to be both non-allergenic and antigenic. The tertiary structure of modeled protein was refined and validated, and the interactions of vaccine 3D structure were evaluated using molecular docking, and molecular dynamics simulation (RMSD, RMSF and Gyration). This structurally stable protein could interact with human TLR5. The C-ImmSim server predicted that this proposed vaccine likely induces an immune response by stimulating T and B cells, making it a potential candidate for further evaluation for the prevention and treatment of Salmonella infection. © 2023 Elsevier Ltd
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