Optimization of SARS-CoV-2 Mpro Inhibitors by a Structure-Based Multilevel Virtual Screening Method

基于结构的多级虚拟筛选方法优化 SARS-CoV-2 Mpro 抑制剂

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作者:Lanlan Jing, Fabao Zhao, Lin Zheng, Bairu Meng, Shenghua Gao, Manon Laporte, Dirk Jochmans, Steven De Jonghe, Johan Neyts, Peng Zhan, Dongwei Kang, Xinyong Liu

Abstract

With the aim of developing novel anti-SARS-CoV-2 drugs to address the ongoing evolution and emergence of drug-resistant strains, the reported SARS-CoV-2 Mpro inhibitor WU-04 was selected as a lead to find novel, highly potent, and broad-spectrum inhibitors. Using a fragment-based multilevel virtual screening strategy, 15 hit compounds were identified and subsequently synthesized. Among them, A5 (IC50 = 1.05 μM), A6 (IC50 = 1.08 μM), and A9 (IC50 = 0.154 μM) demonstrated potent SARS-CoV-2 Mpro inhibition comparable to or slightly weaker than WU-04. Antiviral activity evaluations revealed that compound A9 exhibited the strongest antiviral activity with an EC50 value of 0.18 μM, quite comparable to the marketed drug Nirmatrelvir (EC50 = 0.123 μM) and inferior to WU-04 (EC50 = 0.042 μM). Molecular dynamics simulations elucidated the key interactions between compounds A5, A6, A9, and the binding pocket of SARS-CoV-2 Mpro, providing valuable insights into their mechanisms of action. These findings identify compound A9 as a promising lead for anti-SARS-CoV-2 drug development.

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