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Roc-Guided Virtual Screening, Molecular Dynamics Simulation, and Bioactivity Validation Assessment Z195914464 As a 3cl Mpro Inhibitor

Xiongpiao Wei, Min Li,Yuanbiao Tu,Linxiao Wang

BIOPHYSICAL CHEMISTRY(2025)

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Abstract
Discovering novel class anti-SARS-CoV-2 compounds with novel backbones is essential for preventing and controlling SARS-CoV-2 transmission, which poses a substantial threat to the health and social sustainable development of the global population because of its high pathogenicity and high transmissibility. Although the potential mutation of SARS-CoV-2 might diminish the therapeutic efficacy of drugs, 3CL Mpro is the target highly conservative in contrast with other targets. It is an essential enzyme for coronavirus replication. Based on this, this study utilized the drug discovery strategy of Knime molecular filtering framework, ROC-guided virtual screening, clustering analysis, binding mode analysis, and activity evaluation approaches to identify compound Z195914464 (IC50: 7.19 mu M) is a novel class inhibitor of anti-SARS-CoV-2 against the 3CL Mpro target. In addition, based on molecular dynamics simulations and MMPBSA analyses, discovered that compound Z195914464 can interact with more key residues and lower bonding energies, which explains why it exhibited more activity than the other three compounds. In summary, this study developed a method for the rapid and accurate discovery of active compounds and can also be applied in the discovery of active compounds in other targets.
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ROC-guided virtual screening,3CL Mpro kinase,Drug discovery,Molecular dynamics simulations,MMPBSA
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要点】:本研究采用Knime分子过滤框架、ROC引导的虚拟筛选等方法,发现并验证了新型化合物Z195914464作为抗SARS-CoV-2的3CL Mpro抑制剂,具有高活性。

方法】:通过聚类分析、结合模式分析以及活性评估等策略,研究了化合物与3CL Mpro靶点的相互作用。

实验】:使用分子动力学模拟和MMPBSA分析方法,确定了化合物Z195914464与关键氨基酸残基的相互作用和较低的键能,实验数据集未在文中明确提及。