Designing a multi-epitope influenza vaccine: an immunoinformatics approach
Abstract Influenza continues to be one of the top public health problems since it creates annual epidemics and can start a worldwide pandemic. The virus’s rapid evolution allows the virus to evade the host defense, and then seasonal vaccines need to be reformulated nearly annually. However, it takes...
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Nature Portfolio
2024-10-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-74438-w |
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| author | Leila Momajadi Hossein Khanahmad Karim Mahnam |
| author_facet | Leila Momajadi Hossein Khanahmad Karim Mahnam |
| author_sort | Leila Momajadi |
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| description | Abstract Influenza continues to be one of the top public health problems since it creates annual epidemics and can start a worldwide pandemic. The virus’s rapid evolution allows the virus to evade the host defense, and then seasonal vaccines need to be reformulated nearly annually. However, it takes almost half a year for the influenza vaccine to become accessible. This delay is especially concerning in the event of a pandemic breakout. By producing the vaccine through reverse vaccinology and phage display vaccines, this time can be reduced. In this study, epitopes of B lymphocytes, cytotoxic T lymphocytes, and helper T lymphocytes of HA, NA, NP, and M2 proteins from two strains of Influenza A were anticipated. We found two proper epitopes (ASFIYNGRL and LHLILWITDRLFFKC) in Influenza virus proteins for CTL and HTL cells, respectively. Optimal epitopes and linkers in silico were cloned into the N-terminal end of M13 protein III (pIII) to create a multi-epitope-pIII construct, i.e., phage display vaccine. Also, prediction of tertiary structure, molecular docking, molecular dynamics simulation, and immune simulation were performed and showed that the designed multi-epitope vaccine can bind to the receptors and stimulate the immune system response. |
| format | Article |
| id | doaj-art-e5ef4b3df0214805bf501989900c1135 |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-e5ef4b3df0214805bf501989900c11352025-08-20T02:11:25ZengNature PortfolioScientific Reports2045-23222024-10-0114111710.1038/s41598-024-74438-wDesigning a multi-epitope influenza vaccine: an immunoinformatics approachLeila Momajadi0Hossein Khanahmad1Karim Mahnam2Department of Genetics and Molecular Biology, Faculty of Science, Isfahan University of Medical SciencesDepartment of Genetics and Molecular Biology, Faculty of Science, Isfahan University of Medical SciencesDepartment of Biology, Faculty of Science, Shahrekord UniversityAbstract Influenza continues to be one of the top public health problems since it creates annual epidemics and can start a worldwide pandemic. The virus’s rapid evolution allows the virus to evade the host defense, and then seasonal vaccines need to be reformulated nearly annually. However, it takes almost half a year for the influenza vaccine to become accessible. This delay is especially concerning in the event of a pandemic breakout. By producing the vaccine through reverse vaccinology and phage display vaccines, this time can be reduced. In this study, epitopes of B lymphocytes, cytotoxic T lymphocytes, and helper T lymphocytes of HA, NA, NP, and M2 proteins from two strains of Influenza A were anticipated. We found two proper epitopes (ASFIYNGRL and LHLILWITDRLFFKC) in Influenza virus proteins for CTL and HTL cells, respectively. Optimal epitopes and linkers in silico were cloned into the N-terminal end of M13 protein III (pIII) to create a multi-epitope-pIII construct, i.e., phage display vaccine. Also, prediction of tertiary structure, molecular docking, molecular dynamics simulation, and immune simulation were performed and showed that the designed multi-epitope vaccine can bind to the receptors and stimulate the immune system response.https://doi.org/10.1038/s41598-024-74438-wInfluenzaMulti-epitopeImmunoinformaticsReverse vaccinologyPhage display vaccineMolecular dynamics simulation |
| spellingShingle | Leila Momajadi Hossein Khanahmad Karim Mahnam Designing a multi-epitope influenza vaccine: an immunoinformatics approach Scientific Reports Influenza Multi-epitope Immunoinformatics Reverse vaccinology Phage display vaccine Molecular dynamics simulation |
| title | Designing a multi-epitope influenza vaccine: an immunoinformatics approach |
| title_full | Designing a multi-epitope influenza vaccine: an immunoinformatics approach |
| title_fullStr | Designing a multi-epitope influenza vaccine: an immunoinformatics approach |
| title_full_unstemmed | Designing a multi-epitope influenza vaccine: an immunoinformatics approach |
| title_short | Designing a multi-epitope influenza vaccine: an immunoinformatics approach |
| title_sort | designing a multi epitope influenza vaccine an immunoinformatics approach |
| topic | Influenza Multi-epitope Immunoinformatics Reverse vaccinology Phage display vaccine Molecular dynamics simulation |
| url | https://doi.org/10.1038/s41598-024-74438-w |
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