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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Autores principales:	Dmitry A. Vologzhanin, Aleksandr S. Golota, Tatyana A. Kamilova, Olga V. Shneider, Sergey G. Sсherbak
Formato:	article
Lenguaje:	RU
Publicado:	Eco-vector 2021
Materias:	coronavirus sars-cov-2 covid-19 immunogenic peptides antigen hla vaccine epitope computational prediction computer simulation in silico immunoinformatics Medicine R
Acceso en línea:	https://doaj.org/article/4e3125fa4c5b41438ac2e30ea82b78f4
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spelling	oai:doaj.org-article:4e3125fa4c5b41438ac2e30ea82b78f42021-11-30T18:15:22ZComputer simulation in the development of vaccines against covid-19 based on the hla-system antigens2220-30952618-862710.17816/clinpract76291https://doaj.org/article/4e3125fa4c5b41438ac2e30ea82b78f42021-10-01T00:00:00Zhttps://journals.eco-vector.com/clinpractice/article/viewFile/76291/pdfhttps://doaj.org/toc/2220-3095https://doaj.org/toc/2618-8627The 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.Dmitry A. VologzhaninAleksandr S. GolotaTatyana A. KamilovaOlga V. ShneiderSergey G. SсherbakEco-vectorarticlecoronavirussars-cov-2covid-19immunogenic peptidesantigenhlavaccineepitopecomputational predictioncomputer simulation in silicoimmunoinformaticsMedicineRRUКлиническая практика , Vol 12, Iss 3, Pp 51-70 (2021)
institution	DOAJ
collection	DOAJ
language	RU
topic	coronavirus sars-cov-2 covid-19 immunogenic peptides antigen hla vaccine epitope computational prediction computer simulation in silico immunoinformatics Medicine R
spellingShingle	coronavirus sars-cov-2 covid-19 immunogenic peptides antigen hla vaccine epitope computational prediction computer simulation in silico immunoinformatics Medicine R 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
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.
format	article
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
title	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_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_sort	computer simulation in the development of vaccines against covid-19 based on the hla-system antigens
publisher	Eco-vector
publishDate	2021
url	https://doaj.org/article/4e3125fa4c5b41438ac2e30ea82b78f4
work_keys_str_mv	AT dmitryavologzhanin computersimulationinthedevelopmentofvaccinesagainstcovid19basedonthehlasystemantigens AT aleksandrsgolota computersimulationinthedevelopmentofvaccinesagainstcovid19basedonthehlasystemantigens AT tatyanaakamilova computersimulationinthedevelopmentofvaccinesagainstcovid19basedonthehlasystemantigens AT olgavshneider computersimulationinthedevelopmentofvaccinesagainstcovid19basedonthehlasystemantigens AT sergeygssherbak computersimulationinthedevelopmentofvaccinesagainstcovid19basedonthehlasystemantigens
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Computer simulation in the development of vaccines against covid-19 based on the hla-system antigens

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