DNA-encoded chemical libraries yield non-covalent and non-peptidic SARS-CoV-2 main protease inhibitors

DNA 编码化学库产生非共价和非肽类 SARS-CoV-2 主要蛋白酶抑制剂

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作者:Ravikumar Jimmidi #, Srinivas Chamakuri #, Shuo Lu #, Melek Nihan Ucisik, Peng-Jen Chen, Kurt M Bohren, Seyed Arad Moghadasi, Leroy Versteeg, Christina Nnabuife, Jian-Yuan Li, Xuan Qin, Ying-Chu Chen, John C Faver, Pranavanand Nyshadham, Kiran L Sharma, Banumathi Sankaran, Allison Judge, Zhifeng Yu,

Abstract

The development of SARS-CoV-2 main protease (Mpro) inhibitors for the treatment of COVID-19 has mostly benefitted from X-ray structures and preexisting knowledge of inhibitors; however, an efficient method to generate Mpro inhibitors, which circumvents such information would be advantageous. As an alternative approach, we show here that DNA-encoded chemistry technology (DEC-Tec) can be used to discover inhibitors of Mpro. An affinity selection of a 4-billion-membered DNA-encoded chemical library (DECL) using Mpro as bait produces novel non-covalent and non-peptide-based small molecule inhibitors of Mpro with low nanomolar Ki values. Furthermore, these compounds demonstrate efficacy against mutant forms of Mpro that have shown resistance to the standard-of-care drug nirmatrelvir. Overall, this work demonstrates that DEC-Tec can efficiently generate novel and potent inhibitors without preliminary chemical or structural information.

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