In silico analysis for identifying potential vaccine candidates against Staphylococcus aureus.
- Author:
Somayeh DELFANI
1
;
Abbas Ali IMANI FOOLADI
;
Ashraf Mohabati MOBAREZ
;
Mohammad EMANEINI
;
Jafar AMANI
;
Hamid SEDIGHIAN
Author Information
- Publication Type:Original Article
- Keywords: Computer simulation; Staphylococcus aureus; Vaccines
- MeSH: Community-Acquired Infections; Computational Biology; Computer Simulation*; Epitopes, B-Lymphocyte; Genes, Synthetic; Incidence; Staphylococcus aureus*; Vaccines; Vancomycin; Virulence Factors
- From:Clinical and Experimental Vaccine Research 2015;4(1):99-106
- CountryRepublic of Korea
- Language:English
- Abstract: PURPOSE: Staphylococcus aureus is one of the most important causes of nosocomial and community-acquired infections. The increasing incidence of multiple antibiotic-resistant S. aureus strains and the emergence of vancomycin resistant S. aureus strains have placed renewed interest on alternative means of prevention and control of infection. S. aureus produces a variety of virulence factors, so a multi-subunit vaccine will be more successful for preventing S. aureus infections than a mono-subunit vaccine. MATERIALS AND METHODS: We selected three important virulence factors of S. aureus, clumping factor A (ClfA), iron-regulated surface determinant (IsdB), and gamma hemolysin (Hlg) that are potential candidates for vaccine development. We designed synthetic genes encoding the clfA, isdB, and hlg and used bioinformatics tools to predict structure of the synthetic construct and its stabilities. VaxiJen analysis of the protein showed a high antigenicity. Linear and conformational B-cell epitopes were identified. RESULTS: The proteins encoded by these genes were useful as vaccine candidates against S. aureus infections. CONCLUSION: In silico tools are highly suited to study, design, and evaluate vaccine strategies.
