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1.
J Chem Phys ; 157(18): 185101, 2022 Nov 14.
Article in English | MEDLINE | ID: covidwho-2119368

ABSTRACT

The main protease (Mpro) of SARS-CoV-2 is an essential enzyme for the replication of the virus causing the COVID-19 pandemic. Because there is no known homologue in humans, it has been proposed as a primary target for antiviral drug development. Here, we explore the potential of five acrylamide-based molecules as possible covalent inhibitors, leading to target MPro by docking, followed by polarizable molecular dynamics (MD) and quantum mechanics/molecular mechanics (QM/MM) calculations. All calculations involving a classical potential were calculated with the AMOEBABIO18 polarizable force field, while electronic structure calculations were performed within the framework of density functional theory. Selected docking poses for each of the five compounds were used for MD simulations, which suggest only one of the tested leads remains bound in a catalytically active orientation. The QM/MM results for the covalent attachment of the promising lead to the catalytic serine suggest that this process is thermodynamically feasible but kinetically unlikely. Overall, our results are consistent with the low labeling percentages determined experimentally and may be useful for further development of acrylamide-based leads.


Subject(s)
COVID-19 , SARS-CoV-2 , Humans , Pandemics , Coronavirus 3C Proteases , Molecular Dynamics Simulation , Peptide Hydrolases/metabolism , Acrylamide , Protease Inhibitors/pharmacology , Protease Inhibitors/chemistry , Viral Nonstructural Proteins/chemistry , Viral Nonstructural Proteins/metabolism , Cysteine Endopeptidases/chemistry , Cysteine Endopeptidases/metabolism , Molecular Docking Simulation
2.
Cell Chem Biol ; 28(12): 1795-1806.e5, 2021 12 16.
Article in English | MEDLINE | ID: covidwho-1599513

ABSTRACT

Designing covalent inhibitors is increasingly important, although it remains challenging. Here, we present covalentizer, a computational pipeline for identifying irreversible inhibitors based on structures of targets with non-covalent binders. Through covalent docking of tailored focused libraries, we identify candidates that can bind covalently to a nearby cysteine while preserving the interactions of the original molecule. We found âˆ¼11,000 cysteines proximal to a ligand across 8,386 complexes in the PDB. Of these, the protocol identified 1,553 structures with covalent predictions. In a prospective evaluation, five out of nine predicted covalent kinase inhibitors showed half-maximal inhibitory concentration (IC50) values between 155 nM and 4.5 µM. Application against an existing SARS-CoV Mpro reversible inhibitor led to an acrylamide inhibitor series with low micromolar IC50 values against SARS-CoV-2 Mpro. The docking was validated by 12 co-crystal structures. Together these examples hint at the vast number of covalent inhibitors accessible through our protocol.


Subject(s)
Drug Design , Protein Kinase Inhibitors/chemistry , SARS-CoV-2/enzymology , Viral Matrix Proteins/antagonists & inhibitors , Acrylamide/chemistry , Acrylamide/metabolism , Binding Sites , COVID-19/pathology , COVID-19/virology , Catalytic Domain , Computational Biology/methods , Databases, Protein , Humans , Inhibitory Concentration 50 , Molecular Docking Simulation , Protein Kinase Inhibitors/metabolism , SARS-CoV-2/isolation & purification , Viral Matrix Proteins/metabolism
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