Xiong Muya, Nie Tianqing, Li Zhewen, Hu Meiyi, Su Haixia, Hu Hangchen, Xu Yechun, Shao Qiang
School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.
State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
J Chem Inf Model. 2024 Dec 23;64(24):9501-9516. doi: 10.1021/acs.jcim.4c01594. Epub 2024 Nov 28.
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.
3-胰凝乳蛋白酶样蛋白酶(3CL)是抗致病性冠状病毒的一个重要靶点。深入了解半胱氨酸靶向共价反应机制对于预测已批准抑制剂对SARS-CoV-2变体3CL的抑制效力以及针对新出现的冠状病毒进行基于结构的药物设计至关重要。我们进行了一系列广泛的经典和混合QM/MM分子动力学模拟,以探索五种特征明确的抑制剂对SARS-CoV-2 3CL及其突变体的共价抑制机制。计算得到的抑制剂结合亲和力和反应活性与实验数据高度一致,并且预测的抑制剂对具有L167F、E166V或T21I/E166V突变的3CL的抑制效力与随附酶促测定确定的IC完全一致。所探索的机制揭示了残基诱变对结构动力学的影响,这种影响不仅会改变非共价结合强度,还会改变共价反应自由能。这种变化是抑制剂依赖性的,对应于这些3CL突变体对奈玛特韦和西莫特韦的不同耐药水平以及对该化合物无耐药性。这些结果共同表明,采用合适方案进行的当前模拟能够有效评估共价抑制剂的反应活性和效力,同时阐明共价抑制的分子机制。