Button-Push On-Demand Synthesis for Rapid Optimization of Antiviral Peptidomimetics

IF 14.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
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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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.

Abstract Image

按键式按需合成,快速优化抗病毒拟肽物
将热门化合物优化为候选药物是药物发现的关键阶段,但往往受到繁琐的衍生物手工合成的阻碍。虽然自动化有机分子合成提高了效率、安全性和成本效益,但由于溶剂和试剂不相容以及副产物积累等问题,实现全自动多步合成仍是一项艰巨的挑战。我们在本文中展示了一个自动化固相流平台,用于在对接模拟的指导下合成α-酮酰胺和腈肽拟分子,以确定有效的广谱抗病毒新药。我们在公司内部建立了一个紧凑型并行合成器,每个周期能够产生 5 个不同的分子;525 个反应可在三个月内完成,产生 42 种衍生物用于结构-活性关系(SAR)研究。在这些衍生物中,有十种具有良好的靶抑制活性(IC50 < 100 nM),其中两种具有抗病毒活性(EC50 < 250 nM)。该平台与数字化学配方文件相结合,可快速获得多种拟肽物,是广谱抗病毒候选物的宝贵资源库。这种自动化固相流合成方法加快了以前难以合成的复杂分子支架的生成。通过将 SPS 流式合成与药物化学活动相结合,一小部分衍生物就能达到 10 倍的靶向抑制活性,这表明它有可能改变药物发现的模式。
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来源期刊
CiteScore
24.40
自引率
6.00%
发文量
2398
审稿时长
1.6 months
期刊介绍: The flagship journal of the American Chemical Society, known as the Journal of the American Chemical Society (JACS), has been a prestigious publication since its establishment in 1879. It holds a preeminent position in the field of chemistry and related interdisciplinary sciences. JACS is committed to disseminating cutting-edge research papers, covering a wide range of topics, and encompasses approximately 19,000 pages of Articles, Communications, and Perspectives annually. With a weekly publication frequency, JACS plays a vital role in advancing the field of chemistry by providing essential research.
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