Effects of SARS-CoV-2 Main Protease Mutations at Positions L50, E166, and L167 Rendering Resistance to Covalent and Noncovalent Inhibitors
SARS-CoV-2 propagation under nirmatrelvir and ensitrelvir pressure selects for main protease (MPro) drug-resistant mutations E166V (DRM2), L50F/E166V (DRM3), E166A/L167F (DRM4), and L50F/E166A/L167F (DRM5). DRM2-DRM5 undergoes N-terminal autoprocessing to produce mature MPro with dimer dissociation constants (<i>K</i><sub>dimer</sub>) 2-3 times larger than that of the wildtype. Co-selection of L50F restores catalytic activity of DRM2 and DRM4 from ∼10 to 30%, relative to that of the wild-type enzyme, without altering <i>K</i><sub>dimer</sub>. Binding affinities and thermodynamic profiles that parallel the drug selection pressure, exhibiting significant decreases in affinity through entropy/enthalpy compensation, were compared with GC373. Reorganization of the active sites due to mutations observed in the inhibitor-free DRM3 and DRM4 structures as compared to MPro<sup>WT</sup> may account for the reduced binding affinities, although DRM2 and DRM3 complexes with ensitrelvir are almost identical to MPro<sup>WT</sup>-ensitrelvir. Chemical reactivity changes of the mutant active sites due to differences in electrostatic and protein dynamics effects likely contribute to losses in binding affinities.
Authors
- Leighton Coates (ORCID: https://orcid.org/0000-0003-2342-049X)
- Oksana Gerlits (ORCID: https://orcid.org/0000-0002-0836-826X)
- Annie Aniana (ORCID: https://orcid.org/0000-0003-3929-6841)
- John M. Louis (ORCID: https://orcid.org/0000-0002-0052-1899)
- Rodolfo Ghirlando (ORCID: https://orcid.org/0000-0003-4880-4959)
- Nashaat T. Nashed (ORCID: https://orcid.org/0000-0002-5956-9475)
- Victoria N. Drago (ORCID: https://orcid.org/0000-0002-8828-2529)
- L.E. Wear
- Andrey Kovalevsky (ORCID: https://orcid.org/0000-0003-4459-9142)
Institutions
- Oak Ridge National Laboratory (US)
- National Institutes of Health (US)
- Target (United States) (US)
- Tennessee Wesleyan College (US)
- National Institute of Diabetes and Digestive and Kidney Diseases (US)
Publication Details
- Journal
- Journal of Medicinal Chemistry
- Published
- 2024-10-07
- DOI
- https://doi.org/10.1021/acs.jmedchem.4c01781
- Citations
- 9
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 3.25
Funders
- National Institute of Diabetes and Digestive and Kidney Diseases