AI Article Synopsis

  • 3-Chymotrypsin-like protease (3CL) is a critical target for combating coronaviruses, particularly SARS-CoV-2, and understanding cysteine-targeted covalent reactions is key to evaluating the efficacy of existing inhibitors.
  • The study employs molecular dynamics simulations to analyze how five specific inhibitors interact with SARS-CoV-2 3CL and its mutants, revealing that their binding affinity and inhibition effectiveness aligns well with experimental results.
  • Findings suggest that mutations in 3CL can alter both noncovalent binding and covalent reaction energies, impacting drug resistance levels, with specific inhibitors demonstrating varying responses to these mutations.

Article Abstract

3-Chymotrypsin-like protease (3CL) is a prominent target against pathogenic coronaviruses. Expert knowledge of the cysteine-targeted covalent reaction mechanism is crucial to predict the inhibitory potency of approved inhibitors against 3CLs of SARS-CoV-2 variants and perform structure-based drug design against newly emerging coronaviruses. We carried out an extensive array of classical and hybrid QM/MM molecular dynamics simulations to explore covalent inhibition mechanisms of five well-characterized inhibitors toward SARS-CoV-2 3CL and its mutants. The calculated binding affinity and reactivity of the inhibitors are highly consistent with experimental data, and the predicted inhibitory potency of the inhibitors against 3CL with L167F, E166V, or T21I/E166V mutant is in full agreement with ICs determined by the accompanying enzymatic assays. The explored mechanisms unveil the impact of residue mutagenesis on structural dynamics that communicates to change not only noncovalent binding strength but also covalent reaction free energy. Such a change is inhibitor dependent, corresponding to varied levels of drug resistance of these 3CL mutants against nirmatrelvir and simnotrelvir and no resistance to the compound. These results together suggest that the present simulations with a suitable protocol can efficiently evaluate the reactivity and potency of covalent inhibitors along with the elucidated molecular mechanisms of covalent inhibition.

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http://dx.doi.org/10.1021/acs.jcim.4c01594DOI Listing

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