Research output: Contribution to journal › Review article › peer-review
Prospects for the structure‒function evolution of SARS-CoV-2 main protease inhibitors. / Bulygin, Anatoliy A.; Kuznetsov, Nikita A.
In: Journal of Computer-Aided Molecular Design, Vol. 39, No. 1, 78, 15.09.2025, p. 78.Research output: Contribution to journal › Review article › peer-review
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TY - JOUR
T1 - Prospects for the structure‒function evolution of SARS-CoV-2 main protease inhibitors
AU - Bulygin, Anatoliy A.
AU - Kuznetsov, Nikita A.
N1 - This research was supported by the Russian-State-funded project # 121031300041-4.
PY - 2025/9/15
Y1 - 2025/9/15
N2 - The COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become the third case of widespread coronavirus infection. Together with the other two viruses, the SARS-CoV-2 virus is highly pathogenic, and some strains have a mortality rate of more than 1%. Moreover, it has become clear that coronaviruses mutate quite often, which reduces the effectiveness of available vaccines and forces the regular creation of new ones. The main viral protease Mpro is a suitable target for direct-acting drugs. Currently, there is only one recommended anticoronavirus drug, nirmatrelvir, which, however, does not have all the properties necessary for widespread and effective use. Thus, the development of a highly selective and effective protease inhibitor that can be taken orally still remains relevant. In this work, we performed an in-depth literature review of Mpro inhibitor studies and conducted extensive molecular dynamics simulations of Mpro-inhibitor complexes with computational prediction of binding ability and ADME (absorption, distribution, metabolism and excretion) properties of new compounds. On the basis of the literature review we composed a set of criteria that a potent inhibitor must meet. Then we created a set of possible inhibitors and their parts, which presumably allows all the necessary properties, namely, high affinity for the viral enzyme, selectivity, bioavailability and solubility, to be achieved.
AB - The COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become the third case of widespread coronavirus infection. Together with the other two viruses, the SARS-CoV-2 virus is highly pathogenic, and some strains have a mortality rate of more than 1%. Moreover, it has become clear that coronaviruses mutate quite often, which reduces the effectiveness of available vaccines and forces the regular creation of new ones. The main viral protease Mpro is a suitable target for direct-acting drugs. Currently, there is only one recommended anticoronavirus drug, nirmatrelvir, which, however, does not have all the properties necessary for widespread and effective use. Thus, the development of a highly selective and effective protease inhibitor that can be taken orally still remains relevant. In this work, we performed an in-depth literature review of Mpro inhibitor studies and conducted extensive molecular dynamics simulations of Mpro-inhibitor complexes with computational prediction of binding ability and ADME (absorption, distribution, metabolism and excretion) properties of new compounds. On the basis of the literature review we composed a set of criteria that a potent inhibitor must meet. Then we created a set of possible inhibitors and their parts, which presumably allows all the necessary properties, namely, high affinity for the viral enzyme, selectivity, bioavailability and solubility, to be achieved.
KW - Inhibitor binding
KW - Main protease
KW - Molecular dynamics
KW - SARS-CoV-2
KW - Coronavirus 3C Proteases/antagonists & inhibitors
KW - COVID-19 Drug Treatment
KW - Antiviral Agents/chemistry
KW - Humans
KW - Proline
KW - Lactams
KW - Structure-Activity Relationship
KW - Leucine
KW - Protease Inhibitors/chemistry
KW - Molecular Dynamics Simulation
KW - COVID-19/virology
KW - SARS-CoV-2/enzymology
KW - Nitriles
UR - https://www.scopus.com/pages/publications/105016056114
UR - https://www.mendeley.com/catalogue/bf62b37f-867f-3713-8f8b-02724020c121/
U2 - 10.1007/s10822-025-00654-9
DO - 10.1007/s10822-025-00654-9
M3 - Review article
C2 - 40952530
VL - 39
SP - 78
JO - Journal of Computer-Aided Molecular Design
JF - Journal of Computer-Aided Molecular Design
SN - 0920-654X
IS - 1
M1 - 78
ER -
ID: 69750863