Designing a multi-epitope vaccine against SARS-CoV-2: an immunoinformatic approach
Background.An outbreak of SARS-CoV-2 in 2019 has brought a great challenge to public health and rapid identification of immune epitopes for designing an effective vaccine for different variants of SARS-CoV-2 is necessary at the time of the pandemic. Rational, rapid, and precise vaccine design, espec...
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| Format: | Article |
| Language: | Russian |
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Sankt-Peterburg : NIIÈM imeni Pastera
2025-07-01
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| Series: | Инфекция и иммунитет |
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| Online Access: | https://iimmun.ru/iimm/article/viewFile/17622/2175 |
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| author | V. Alamdari-Palang Z. Dehghan M. Kian S. Zonar J. Fallahi M. Sisakht S. Khajeh V. Razban |
| author_facet | V. Alamdari-Palang Z. Dehghan M. Kian S. Zonar J. Fallahi M. Sisakht S. Khajeh V. Razban |
| author_sort | V. Alamdari-Palang |
| collection | DOAJ |
| description | Background.An outbreak of SARS-CoV-2 in 2019 has brought a great challenge to public health and rapid identification of immune epitopes for designing an effective vaccine for different variants of SARS-CoV-2 is necessary at the time of the pandemic. Rational, rapid, and precise vaccine design, especially vaccine antigen identification and optimization byin silicomethods of bioinformatics, structural biology, and immunoinformatic is critical to efficient vaccine development against the SARS-CoV-2 virus. The aim of this study was to develop a particular novel and effective vaccines vaccine using bioinformatics approaches and resources that can target B- and T-cell epitopes to combat SARS-CoV-2 infection.
Materials and methods.The variants of SARS-CoV-2 (Alpha, Beta, Delta, and Omicron strains) spike protein were selected for designing the vaccine. The B-cell, T-cell, and IFNg-inducing epitopes were predicted. The beta-defensin-3 protein was selected as adjuvant and predicted epitopes were connected using suitable linkers. The vaccine’s allergenicity, antigenicity, physicochemical characteristics, 2D and 3D structure modeling, and molecular docking were evaluated for the final construct.
Results.Thein silicoresults showed that the multi-epitope vaccine has a stable structure and can induce humoral and cellular immune responses against SARS-CoV-2.
Conclusion.B-cell and T-cell epitopes on spike protein were identified and recommended for design and confirmation of in vivo evaluation for multi-epitope peptides as vaccines against SARS-CoV-2. |
| format | Article |
| id | doaj-art-b33177a259264baaab424525850191ab |
| institution | Kabale University |
| issn | 2220-7619 2313-7398 |
| language | Russian |
| publishDate | 2025-07-01 |
| publisher | Sankt-Peterburg : NIIÈM imeni Pastera |
| record_format | Article |
| series | Инфекция и иммунитет |
| spelling | doaj-art-b33177a259264baaab424525850191ab2025-08-20T04:02:12ZrusSankt-Peterburg : NIIÈM imeni PasteraИнфекция и иммунитет2220-76192313-73982025-07-0115231932810.15789/2220-7619-DAM-176221522Designing a multi-epitope vaccine against SARS-CoV-2: an immunoinformatic approachV. Alamdari-Palang0Z. Dehghan1M. Kian2S. Zonar3J. Fallahi4M. Sisakht5S. Khajeh6V. Razban7Shiraz University of Medical SciencesShiraz University of Medical SciencesShiraz University of Medical SciencesIslamic Azad UniversityShiraz University of Medical SciencesShiraz University of Medical SciencesShiraz University of Medical SciencesShiraz University of Medical SciencesBackground.An outbreak of SARS-CoV-2 in 2019 has brought a great challenge to public health and rapid identification of immune epitopes for designing an effective vaccine for different variants of SARS-CoV-2 is necessary at the time of the pandemic. Rational, rapid, and precise vaccine design, especially vaccine antigen identification and optimization byin silicomethods of bioinformatics, structural biology, and immunoinformatic is critical to efficient vaccine development against the SARS-CoV-2 virus. The aim of this study was to develop a particular novel and effective vaccines vaccine using bioinformatics approaches and resources that can target B- and T-cell epitopes to combat SARS-CoV-2 infection. Materials and methods.The variants of SARS-CoV-2 (Alpha, Beta, Delta, and Omicron strains) spike protein were selected for designing the vaccine. The B-cell, T-cell, and IFNg-inducing epitopes were predicted. The beta-defensin-3 protein was selected as adjuvant and predicted epitopes were connected using suitable linkers. The vaccine’s allergenicity, antigenicity, physicochemical characteristics, 2D and 3D structure modeling, and molecular docking were evaluated for the final construct. Results.Thein silicoresults showed that the multi-epitope vaccine has a stable structure and can induce humoral and cellular immune responses against SARS-CoV-2. Conclusion.B-cell and T-cell epitopes on spike protein were identified and recommended for design and confirmation of in vivo evaluation for multi-epitope peptides as vaccines against SARS-CoV-2.https://iimmun.ru/iimm/article/viewFile/17622/2175covid-19sars-cov-2vaccineimmunoinformaticepitopet-cell epitopesb-cell epitopes |
| spellingShingle | V. Alamdari-Palang Z. Dehghan M. Kian S. Zonar J. Fallahi M. Sisakht S. Khajeh V. Razban Designing a multi-epitope vaccine against SARS-CoV-2: an immunoinformatic approach Инфекция и иммунитет covid-19 sars-cov-2 vaccine immunoinformatic epitope t-cell epitopes b-cell epitopes |
| title | Designing a multi-epitope vaccine against SARS-CoV-2: an immunoinformatic approach |
| title_full | Designing a multi-epitope vaccine against SARS-CoV-2: an immunoinformatic approach |
| title_fullStr | Designing a multi-epitope vaccine against SARS-CoV-2: an immunoinformatic approach |
| title_full_unstemmed | Designing a multi-epitope vaccine against SARS-CoV-2: an immunoinformatic approach |
| title_short | Designing a multi-epitope vaccine against SARS-CoV-2: an immunoinformatic approach |
| title_sort | designing a multi epitope vaccine against sars cov 2 an immunoinformatic approach |
| topic | covid-19 sars-cov-2 vaccine immunoinformatic epitope t-cell epitopes b-cell epitopes |
| url | https://iimmun.ru/iimm/article/viewFile/17622/2175 |
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