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

• DOI: 10.17816/clinpract76291
• Publication Date: 2021-08-26T07:44:23Z
• Authors: Dmitry A. Vologzh...; Aleksandr S. Golota; Tatyana A. Kamilova; Olga V. Shneider; Sergey G. Sсherbak
• Keywords: 0301 basic medicine; epitope; coronavirus; immunogenic peptides; R; computational prediction; immunoinformatics; computer simulation in silico; 3. Good health; sars-cov-2; hla; 03 medical and health sciences; antigen; covid-19; vaccine; Medicine

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.