Computer simulation in the development of vaccines against covid-19 based on the hla-system antigens

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Abstract

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.

About the authors

Dmitry A. Vologzhanin

Saint-Petersburg City Hospital No 40 of Kurortny District; Saint-Petersburg State University

Email: volog@bk.ru
ORCID iD: 0000-0002-1176-794X
SPIN-code: 7922-7302

MD, Dr. Sci. (Med.)

Russian Federation, 9B Borisova st., 197706, Saint Petersburg, Sestroretsk; Saint Petersburg

Aleksandr S. Golota

Saint-Petersburg City Hospital No 40 of Kurortny District

Author for correspondence.
Email: golotaa@yahoo.com
ORCID iD: 0000-0002-5632-3963
SPIN-code: 7234-7870

MD, Cand. Sci. (Med.), Associate Professor

Russian Federation, 9B Borisova st., 197706, Saint Petersburg, Sestroretsk

Tatyana A. Kamilova

Saint-Petersburg City Hospital No 40 of Kurortny District

Email: kamilovaspb@mail.ru
ORCID iD: 0000-0001-6360-132X
SPIN-code: 2922-4404

Cand. Sci. (Biol.)

Russian Federation, 9B Borisova st., 197706, Saint Petersburg, Sestroretsk

Olga V. Shneider

Saint-Petersburg City Hospital No 40 of Kurortny District

Email: o.shneider@gb40.ru
ORCID iD: 0000-0001-8341-2454
SPIN-code: 8405-1051

MD, Cand. Sci. (Med.)

Russian Federation, 9B Borisova st., 197706, Saint Petersburg, Sestroretsk

Sergey G. Sсherbak

Saint-Petersburg City Hospital No 40 of Kurortny District; Saint-Petersburg State University

Email: b40@zdrav.spb.ru
ORCID iD: 0000-0001-5047-2792
SPIN-code: 1537-9822

MD, Dr. Sci. (Med.), Professor

Russian Federation, 9B Borisova st., 197706, Saint Petersburg, Sestroretsk; Saint Petersburg

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2. Fig. 1. Step-by-step strategies of the reverse vaccinology approach of vaccine development [27].

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Copyright (c) 2021 Vologzhanin D.A., Golota A.S., Kamilova T.A., Shneider O.V., Sсherbak S.G.

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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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