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In silico analysis for identifying potential vaccine candidates against Staphylococcus aureus
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 mean...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Vaccine Society
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4313115/ https://www.ncbi.nlm.nih.gov/pubmed/25649548 http://dx.doi.org/10.7774/cevr.2015.4.1.99 |
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author | Delfani, Somayeh Imani Fooladi, Abbas Ali Mobarez, Ashraf Mohabati Emaneini, Mohammad Amani, Jafar Sedighian, Hamid |
author_facet | Delfani, Somayeh Imani Fooladi, Abbas Ali Mobarez, Ashraf Mohabati Emaneini, Mohammad Amani, Jafar Sedighian, Hamid |
author_sort | Delfani, Somayeh |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4313115 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | The Korean Vaccine Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-43131152015-02-03 In silico analysis for identifying potential vaccine candidates against Staphylococcus aureus Delfani, Somayeh Imani Fooladi, Abbas Ali Mobarez, Ashraf Mohabati Emaneini, Mohammad Amani, Jafar Sedighian, Hamid Clin Exp Vaccine Res Original Article 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. The Korean Vaccine Society 2015-01 2015-01-30 /pmc/articles/PMC4313115/ /pubmed/25649548 http://dx.doi.org/10.7774/cevr.2015.4.1.99 Text en © Korean Vaccine Society. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Delfani, Somayeh Imani Fooladi, Abbas Ali Mobarez, Ashraf Mohabati Emaneini, Mohammad Amani, Jafar Sedighian, Hamid In silico analysis for identifying potential vaccine candidates against Staphylococcus aureus |
title | In silico analysis for identifying potential vaccine candidates against Staphylococcus aureus |
title_full | In silico analysis for identifying potential vaccine candidates against Staphylococcus aureus |
title_fullStr | In silico analysis for identifying potential vaccine candidates against Staphylococcus aureus |
title_full_unstemmed | In silico analysis for identifying potential vaccine candidates against Staphylococcus aureus |
title_short | In silico analysis for identifying potential vaccine candidates against Staphylococcus aureus |
title_sort | in silico analysis for identifying potential vaccine candidates against staphylococcus aureus |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4313115/ https://www.ncbi.nlm.nih.gov/pubmed/25649548 http://dx.doi.org/10.7774/cevr.2015.4.1.99 |
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