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The Catalytic Mechanism of the SARS-Cov-2 Main Protease
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1  Associate Laboratory i4HB - Institute for Health and Bioeconomy, BioSIM, Faculty of Medicine, University of Porto, 4050-313 Porto, Portugal
2  UCIBIO – Applied Molecular Biosciences Unit, BioSIM, Faculty of Medicine, University of Porto, 4050-313 Porto, Portugal
Academic Editor: Humbert G. Díaz

https://doi.org/10.3390/mol2net-07-12118 (registering DOI)
Abstract:

SARS-CoV-2 Main Protease (Mpro), also known as 3C-like protease, is a key enzyme involved in the replication process of the virus that is causing the COVID-19 pandemic. It is also the most promising antiviral drug target targeting the SARS-CoV-2 virus. In this work [1], the catalytic mechanism of Mpro was studied using the full model of the enzyme and a computational QM/MM methodology [2] with 69/72-atoms included in the QM region treated at DLPNO-CCSD(T)[3][4]/CBS//B3LYP/6-31G(d,p):AMBER level, containing the catalytic important oxyanion-hole residues. The transition state of each step was fully characterized and described together with the related reactants and products. The rate-limiting step of the catalytic process is the hydrolysis of the thioester-enzyme adduct, and the calculated barrier closely agrees with the available kinetic data. Our simulations have disclosed important aspects of the mechanism, namely: (1) the role of the interaction between the P2 residue of the substrate and the catalytic His; (2) the important role of P1’ residue of the substrate in the stabilization of the ion pair intermediate; (3) the critical role of Gly143, Ser144, and Cys145 in the stabilization of the substrate’s oxo group.

The obtained Gibbs free energy profile, together with the full atomistic detail of the structures involved in catalysis, can be helpful for the rational drug design of transition state analogs as new inhibitors targeting the SARS-CoV-2 virus.

References:

[1] H. S. Fernandes, S. F. Sousa, N. M. F. S. A. Cerqueira, Mol. Divers. 2021, DOI 10.1007/s11030-021-10259-7.
[2] H. S. Fernandes, M. J. Ramos, N. M. F. S. A. Cerqueira, J. Comput. Chem. 2018, 39, 1344–1353.
[3] Y. Guo, C. Riplinger, U. Becker, D. G. Liakos, Y. Minenkov, L. Cavallo, F. Neese, J. Chem. Phys. 2018, 148, 011101.
[4] F. Neese, F. Wennmohs, U. Becker, C. Riplinger, J. Chem. Phys. 2020, 152, 224108.

Acknowledgments:

This work was supported by the Applied Molecular Biosciences Unit—UCIBIO (UIDP/04378/2020 and UIDB/04378/2020).

Keywords: SARS-CoV-2; COVID19; protease; QM/MM; computational
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