Binding kinetics study of SARS-CoV-2 main protease and potential inhibitors molecular dynamics simulations
The pandemic COVID-19 was induced by the novel coronavirus SARS-CoV-2. The virus main protease (M pro ) cleaves the coronavirus polyprotein translated from the viral RNA in the host cells. Because of its crucial role in virus replication, M pro is a potential drug target for COVID-19 treatment. Here...
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Published in | Physical chemistry chemical physics : PCCP Vol. 25; no. 22; pp. 15135 - 15145 |
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Main Authors | , , , |
Format | Journal Article |
Published |
07.06.2023
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Online Access | Get full text |
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Summary: | The pandemic COVID-19 was induced by the novel coronavirus SARS-CoV-2. The virus main protease (M
pro
) cleaves the coronavirus polyprotein translated from the viral RNA in the host cells. Because of its crucial role in virus replication, M
pro
is a potential drug target for COVID-19 treatment. Herein, we study the interactions between M
pro
and three HIV-1 protease (HIV-1 PR) inhibitors, Lopinavir (LPV), Saquinavir (SQV), Ritonavir (RIT), and an inhibitor PF-07321332, by conventional and replica exchange molecular dynamics (MD) simulations. The association/dissociation rates and the affinities of the inhibitors were estimated. The three HIV-1 PR inhibitors exhibit low affinities, while PF-07321332 has the highest affinity among these four simulated inhibitors. Based on cluster analysis, the HIV-1 PR inhibitors bind to M
pro
at multiple sites, while PF-07321332 specifically binds to the catalytically activated site of M
pro
. The stable and specific binding is because PF-07321332 forms multiple H-bonds to His163 and Glu166 simultaneously. The simulations suggested PF-07321332 could serve as an effective inhibitor with high affinity and shed light on the strategy of drug design and drug repositioning.
Molecular dynamics simulations revealed the interactions between the main protease of SARS-CoV-2 and its potential inhibitors. |
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Bibliography: | https://doi.org/10.1039/d2cp05911h Electronic supplementary information (ESI) available. See DOI |
ISSN: | 1463-9076 1463-9084 |
DOI: | 10.1039/d2cp05911h |