Department of Pharmaceutical Biology, Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg University, Staudinger Weg 5, 55128 Mainz, Germany.
Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, 04107 Leipzig, Germany.
Molecules. 2023 Jan 18;28(3):988. doi: 10.3390/molecules28030988.
During the past three decades, humans have been confronted with different new coronavirus outbreaks. Since the end of the year 2019, COVID-19 threatens the world as a rapidly spreading infectious disease. For this work, we targeted the non-structural protein 16 (nsp16) as a key protein of SARS-CoV-2, SARS-CoV-1 and MERS-CoV to develop broad-spectrum inhibitors of nsp16. Computational methods were used to filter candidates from a natural product-based library of 224,205 compounds obtained from the ZINC database. The binding of the candidates to nsp16 was assessed using virtual screening with VINA LC, and molecular docking with AutoDock 4.2.6. The top 9 compounds were bound to the nsp16 protein of SARS-CoV-2, SARS-CoV-1, and MERS-CoV with the lowest binding energies (LBEs) in the range of -9.0 to -13.0 kcal with VINA LC. The AutoDock-based LBEs for nsp16 of SARS-CoV-2 ranged from -11.42 to -16.11 kcal/mol with predicted inhibition constants (pKi) from 0.002 to 4.51 nM, the natural substrate S-adenosyl methionine (SAM) was used as control. In silico results were verified by microscale thermophoresis as in vitro assay. The candidates were investigated further for their cytotoxicity in normal MRC-5 lung fibroblasts to determine their therapeutic indices. Here, the IC values of all three compounds were >10 µM. In summary, we identified three novel SARS-CoV-2 inhibitors, two of which showed broad-spectrum activity to nsp16 in SARS-CoV-2, SARS-CoV-1, and MERS-CoV. All three compounds are coumarin derivatives that contain chromen-2-one in their scaffolds.
在过去的三十年中,人类面临着不同的新型冠状病毒爆发。自 2019 年年末以来,COVID-19 作为一种迅速传播的传染病威胁着全世界。在这项工作中,我们将非结构蛋白 16(nsp16)作为 SARS-CoV-2、SARS-CoV-1 和 MERS-CoV 的关键蛋白,开发了 nsp16 的广谱抑制剂。我们使用计算方法从 ZINC 数据库中获得的 224205 种化合物的天然产物库中筛选候选物。使用 VINA LC 进行虚拟筛选评估候选物与 nsp16 的结合,使用 AutoDock 4.2.6 进行分子对接。使用 VINA LC,前 9 种化合物与 SARS-CoV-2、SARS-CoV-1 和 MERS-CoV 的 nsp16 蛋白结合,结合能(LBE)范围在-9.0 到-13.0 kcal/mol。基于 AutoDock 的 SARS-CoV-2 nsp16 的 LBE 范围为-11.42 到-16.11 kcal/mol,预测抑制常数(pKi)范围为 0.002 到 4.51 nM,天然底物 S-腺苷甲硫氨酸(SAM)作为对照。通过微尺度热泳作为体外测定法验证了计算机模拟结果。进一步研究了候选物在正常 MRC-5 肺成纤维细胞中的细胞毒性,以确定它们的治疗指数。在这里,所有三种化合物的 IC 值均>10µM。总之,我们鉴定了三种新型 SARS-CoV-2 抑制剂,其中两种对 SARS-CoV-2、SARS-CoV-1 和 MERS-CoV 的 nsp16 具有广谱活性。所有三种化合物都是香豆素衍生物,其支架中含有色烯-2-酮。