| |
original article |
Date |
Title |
Authors Max. 6 Authors |
| 1 |
[GO] |
2023―Jul―09 |
De novo design of potential SARS-CoV-2 main protease inhibitors using artificial intelligence and molecular modeling technologies |
A. M. Andrianov, K. V. Furs, M. A. Shuldau, A. V. Tuzikov |
| 2 |
[GO] |
2022―Sep―09 |
Interaction of recombinant human lactoferrin and SARS-CoV-2 virus to heparin-protein conjugate |
D. A. Semenov, I. I. Vashkevich, A. S. Vladyko, O. V. Sviridov |
| 3 |
[GO] |
2022―Jul―05 |
Mathematical modeling of the vaccination influence on the COVID-19 epidemic propagation |
P. S. Grinchuk, S. P. Fisenko, A. I. Shnip |
| 4 |
[GO] |
2022―May―06 |
In silico screening of the potential SARS-CoV-2 inhibitors blocking the HR1 trimer of the coronavirus protein S |
A. M. Andrianov, K. V. Furs, A. M. Yushkevich, A. V. Gonchar, A. V. Tuzikov |
| 5 |
[GO] |
2021―Nov―10 |
Biomarkers of inflammation and cytokine storm: a relationship with the production levels of virus-specific IgG isotype antibodies to SARS-CoV-2 N-protein in COVID-19 present and vaccinated persons |
L. P. Titov, T. V. Amvrosieva, M. O. Trusevich, I. V. Belskaya |
| 6 |
[GO] |
2021―Jul―16 |
Influence of coronavirus infection COVID-19 on the cognitive functions and physical performance ability of students |
M. I. Haptar, S. V. Gubkin |
| 7 |
[GO] |
2020―Jul―09 |
Identification of potential inhibitors of coronavirus SARS-CoV-2 using the methods of virtual screening and molecular modeling |
A. M. Andrianov, Yu. V. Kornoushenko, A. D. Karpenko, A. V. Tuzikov |
