Computer simulation in the development of vaccines against covid-19 based on the hla-system antigens
The genetic variability of population may explain different individual immune responses to the SARS-CoV-2 virus. The use of genome- and peptidome-based technologies makes it possible to develop vaccines by optimizing the target antigens. The computer modeling methodology provides the scientific comm...
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| Format: | Article |
| Language: | English |
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Eco-vector
2021-10-01
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| Series: | Клиническая практика |
| Subjects: | |
| Online Access: | https://journals.eco-vector.com/clinpractice/article/viewFile/76291/pdf |
| _version_ | 1797765194069311488 |
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| author | Dmitry A. Vologzhanin Aleksandr S. Golota Tatyana A. Kamilova Olga V. Shneider Sergey G. Sсherbak |
| author_facet | Dmitry A. Vologzhanin Aleksandr S. Golota Tatyana A. Kamilova Olga V. Shneider Sergey G. Sсherbak |
| author_sort | Dmitry A. Vologzhanin |
| collection | DOAJ |
| description | The genetic variability of population may explain different individual immune responses to the SARS-CoV-2 virus. The use of genome- and peptidome-based technologies makes it possible to develop vaccines by optimizing the target antigens. The computer modeling methodology provides the scientific community with a more complete list of immunogenic peptides, including a number of new and cross-reactive candidates. Studies conducted independently of each other with different approaches provide a high degree of confidence in the reproducibility of results. Most of the effort in developing vaccines and drugs against SARS-CoV-2 is directed towards the thorn glycoprotein (protein S), a major inducer of neutralizing antibodies. Several vaccines have been shown to be effective in the preclinical studies and have been tested in the clinical trials to combat the COVID-19 infection. This review presents the profile of in silico predicted immunogenic peptides of the SARS-CoV-2 virus for the subsequent functional validation and vaccine development, and highlights the current advances in the development of subunit vaccines to combat COVID-19, taking into account the experience that has been previously achieved with SARS-CoV and MERS-CoV. The immunoinformatics techniques reduce the time and cost of developing vaccines that together can stop this new viral infection. |
| first_indexed | 2024-03-12T20:07:43Z |
| format | Article |
| id | doaj.art-4e3125fa4c5b41438ac2e30ea82b78f4 |
| institution | Directory Open Access Journal |
| issn | 2220-3095 2618-8627 |
| language | English |
| last_indexed | 2024-03-12T20:07:43Z |
| publishDate | 2021-10-01 |
| publisher | Eco-vector |
| record_format | Article |
| series | Клиническая практика |
| spelling | doaj.art-4e3125fa4c5b41438ac2e30ea82b78f42023-08-02T01:59:22ZengEco-vectorКлиническая практика2220-30952618-86272021-10-01123517010.17816/clinpract7629172107Computer simulation in the development of vaccines against covid-19 based on the hla-system antigensDmitry A. Vologzhanin0https://orcid.org/0000-0002-1176-794XAleksandr S. Golota1https://orcid.org/0000-0002-5632-3963Tatyana A. Kamilova2https://orcid.org/0000-0001-6360-132XOlga V. Shneider3https://orcid.org/0000-0001-8341-2454Sergey G. Sсherbak4https://orcid.org/0000-0001-5047-2792Saint-Petersburg City Hospital No 40 of Kurortny DistrictSaint-Petersburg City Hospital No 40 of Kurortny DistrictSaint-Petersburg City Hospital No 40 of Kurortny DistrictSaint-Petersburg City Hospital No 40 of Kurortny DistrictSaint-Petersburg City Hospital No 40 of Kurortny DistrictThe genetic variability of population may explain different individual immune responses to the SARS-CoV-2 virus. The use of genome- and peptidome-based technologies makes it possible to develop vaccines by optimizing the target antigens. The computer modeling methodology provides the scientific community with a more complete list of immunogenic peptides, including a number of new and cross-reactive candidates. Studies conducted independently of each other with different approaches provide a high degree of confidence in the reproducibility of results. Most of the effort in developing vaccines and drugs against SARS-CoV-2 is directed towards the thorn glycoprotein (protein S), a major inducer of neutralizing antibodies. Several vaccines have been shown to be effective in the preclinical studies and have been tested in the clinical trials to combat the COVID-19 infection. This review presents the profile of in silico predicted immunogenic peptides of the SARS-CoV-2 virus for the subsequent functional validation and vaccine development, and highlights the current advances in the development of subunit vaccines to combat COVID-19, taking into account the experience that has been previously achieved with SARS-CoV and MERS-CoV. The immunoinformatics techniques reduce the time and cost of developing vaccines that together can stop this new viral infection.https://journals.eco-vector.com/clinpractice/article/viewFile/76291/pdfcoronavirussars-cov-2covid-19immunogenic peptidesantigenhlavaccineepitopecomputational predictioncomputer simulation in silicoimmunoinformatics |
| spellingShingle | Dmitry A. Vologzhanin Aleksandr S. Golota Tatyana A. Kamilova Olga V. Shneider Sergey G. Sсherbak Computer simulation in the development of vaccines against covid-19 based on the hla-system antigens Клиническая практика coronavirus sars-cov-2 covid-19 immunogenic peptides antigen hla vaccine epitope computational prediction computer simulation in silico immunoinformatics |
| title | Computer simulation in the development of vaccines against covid-19 based on the hla-system antigens |
| title_full | Computer simulation in the development of vaccines against covid-19 based on the hla-system antigens |
| title_fullStr | Computer simulation in the development of vaccines against covid-19 based on the hla-system antigens |
| title_full_unstemmed | Computer simulation in the development of vaccines against covid-19 based on the hla-system antigens |
| title_short | Computer simulation in the development of vaccines against covid-19 based on the hla-system antigens |
| title_sort | computer simulation in the development of vaccines against covid 19 based on the hla system antigens |
| topic | coronavirus sars-cov-2 covid-19 immunogenic peptides antigen hla vaccine epitope computational prediction computer simulation in silico immunoinformatics |
| url | https://journals.eco-vector.com/clinpractice/article/viewFile/76291/pdf |
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