Preparing anti-SARS-CoV-2 agent EIDD-2801 by a practical and scalable approach,and quick evaluation via machine learning

• 作者: Zhen Qin Bin Dong Renbing Wang Dechun Huang Jubo Wang Xi Feng Jinlei Bian Zhiyu Li
• 来源期刊: 药学学报（英文版）
• 年，卷（期）: 2021,（11）
• 所属期刊栏目: Short communication
• 页码范围: 3678-3682
• 页数: 5页
• 语种: 英文

摘要

EIDD-2801 is an orally bioavailable prodrug,which will be applied for emergency use autho-rization from the U.S.Food and Drug Administration for the treatment of COVID-19.To investigate the optimal parameters,EIDD-2801 was optimized via a four-step synthesis with high purity of 99.9％.The hydroxylamination procedure was telescoped in a one-pot and the final step was precisely controlled on reagents,temperature and reaction time.Compared to the original route,the yield of the new route was enhanced from 17％to 58％without column chromatography.The optimized synthesis has been success-fully determinated on a decagram scale:the first step at 200 g and the final step at 20 g.Besides,the relationship between yield and temperature,time,and reagents in the deprotection step was investigated via Shapley value explanation and machine learning approach-decision tree method.The results revealed that reagents have the greatest impact on yield estimation,followed by the temperature.