Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has killed more than 4 million humans globally, but there is no bona fide Food and Drug Administration-approved drug-like molecule to impede the COVID-19 pandemic. The sluggish pace of traditional therapeutic discovery is poorly suited to producing targeted treatments against rapidly evolving viruses. Here, we used an affinity-based screen of 4 billion DNA-encoded molecules en masse to identify a potent class of virus-specific inhibitors of the SARS-CoV-2 main protease (M(pro)) without extensive and time-consuming medicinal chemistry. CDD-1714, the initial three-building-block screening hit (molecular weight [MW] = 542.5 g/mol), was a potent inhibitor (inhibition constant [K(i)] = 20 nM). CDD-1713, a smaller two-building-block analog (MW = 353.3 g/mol) of CDD-1714, is a reversible covalent inhibitor of M(pro) (K(i) = 45 nM) that binds in the protease pocket, has specificity over human proteases, and shows in vitro efficacy in a SARS-CoV-2 infectivity model. Subsequently, key regions of CDD-1713 that were necessary for inhibitory activity were identified and a potent (K(i) = 37 nM), smaller (MW = 323.4 g/mol), and metabolically more stable analog (CDD-1976) was generated. Thus, screening of DNA-encoded chemical libraries can accelerate the discovery of efficacious drug-like inhibitors of emerging viral disease targets.
DNA-encoded chemistry technology yields expedient access to SARS-CoV-2 M(pro) inhibitors.
DNA编码化学技术可快速获得SARS-CoV-2 M(pro)抑制剂
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作者:Chamakuri Srinivas, Lu Shuo, Ucisik Melek Nihan, Bohren Kurt M, Chen Ying-Chu, Du Huang-Chi, Faver John C, Jimmidi Ravikumar, Li Feng, Li Jian-Yuan, Nyshadham Pranavanand, Palmer Stephen S, Pollet Jeroen, Qin Xuan, Ronca Shannon E, Sankaran Banumathi, Sharma Kiran L, Tan Zhi, Versteeg Leroy, Yu Zhifeng, Matzuk Martin M, Palzkill Timothy, Young Damian W
| 期刊: | Proceedings of the National Academy of Sciences of the United States of America | 影响因子: | 9.100 |
| 时间: | 2021 | 起止号: | 2021 Sep 7; 118(36):e2111172118 |
| doi: | 10.1073/pnas.2111172118 | 研究方向: | 信号转导 |
| 疾病类型: | 新冠 | ||
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