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Supercomputer simulation of the covalent inhibition of the main protease of SARS-CoV-2

Molecular modeling tools were applied to design a potential covalent inhibitor of the main protease (M(pro)) of the SARS-CoV-2 virus and to investigate its interaction with the enzyme. The compound includes a benzoisothiazolone (BZT) moiety of antimalarial drugs and a 5-fluoro-6-nitropyrimidine-2,4(...

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Detalles Bibliográficos
Autores principales: Nemukhin, A. V., Grigorenko, B. L., Lushchekina, S. V., Varfolomeev, S. D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761045/
https://www.ncbi.nlm.nih.gov/pubmed/35068913
http://dx.doi.org/10.1007/s11172-021-3319-8
Descripción
Sumario:Molecular modeling tools were applied to design a potential covalent inhibitor of the main protease (M(pro)) of the SARS-CoV-2 virus and to investigate its interaction with the enzyme. The compound includes a benzoisothiazolone (BZT) moiety of antimalarial drugs and a 5-fluoro-6-nitropyrimidine-2,4(1.H,3H)-dione (FNP) moiety mimicking motifs of inhibitors of other cysteine proteases. The BZT moiety provides a fair binding of the ligand on the protein surface, whereas the warhead FNP is responsible for efficient nucleophilic aromatic substitution reaction with the catalytic cysteine residue in the M(pro) active site, leading to a stable covalent adduct. According to supercomputer calculations of the reaction energy profile using the quantum mechanics/molecular mechanics method, the energy of the covalent adduct is 21 kcal mol(−1) below the energy of the reactants, while the highest barrier along the reaction pathway is 9 kcal mol(−1). These estimates indicate that the reaction can proceed efficiently and can block the M(pro) enzyme. The computed structures along the reaction path illustrate the nucleophilic aromatic substitution (S(N)Ar) mechanism in enzymes. The results of this study are important for the choice of potential drugs blocking the development of coronavirus infection.