Duanshuai Tian, Ting Wei Tan, Ronald Toh Kuan Hai, Gan Wang, Fadhil Peer Mohamed, Zhenyang Yu, Hwee Ting Ang, Weijun Xu, Qian Wen Tan, Pearly Shuyi Ng, Choon Heng Low, Boping Liu, Perlyn Quek Zekui, Joma Kanikadu Joy, Joseph Cherian, Frankie S Mak* and Jie Wu*,
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引用次数: 0
Abstract
The optimization of hit compounds into drug candidates is a pivotal phase in drug discovery but often hampered by cumbersome manual synthesis of derivatives. While automated organic molecule synthesis has enhanced efficiency, safety, and cost-effectiveness, achieving fully automated multistep synthesis remains a formidable challenge due to issues such as solvent and reagent incompatibilities and the accumulation of side-products. We herein demonstrate an automated solid-phase flow platform for synthesizing α-keto-amides and nitrile peptidomimetics, guided by docking simulations, to identify potent broad-spectrum antiviral leads. A compact parallel synthesizer was built in-house, capable of producing 5 distinct molecules per cycle; 525 reactions could be finished within three months to generate 42 derivatives for a structure–activity relationship (SAR) investigation. Among these, ten derivatives exhibited promising target inhibitory activity (IC50 < 100 nM) including two with antiviral activity (EC50 < 250 nM). The platform, coupled with digital chemical recipe files, offers rapid access to a wide range of peptidomimetics, serving as a valuable reservoir for broad-spectrum antiviral candidates. This automated solid-phase flow synthesis approach expedites the generation of previously difficult complex molecular scaffolds. By integration of SPS-flow synthesis with medicinal chemistry campaign, >10-fold target inhibitory activity was achieved from a small set of derivatives, which indicates the potential to shift the paradigm of drug discovery.
期刊介绍:
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