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Late-stage C–H functionalization offers new opportunities in drug discovery

药物发现 工具箱 计算机科学 多元化(营销策略) 表面改性 纳米技术 生化工程 工程类 生物信息学 业务 材料科学 生物 化学工程 营销 程序设计语言
作者
Lucas Guillemard,Nikolaos Kaplaneris,Lutz Ackermann,Magnus J. Johansson
出处
期刊:Nature Reviews Chemistry [Nature Portfolio]
卷期号:5 (8): 522-545 被引量:582
标识
DOI:10.1038/s41570-021-00300-6
摘要

Over the past decade, the landscape of molecular synthesis has gained major impetus by the introduction of late-stage functionalization (LSF) methodologies. C–H functionalization approaches, particularly, set the stage for new retrosynthetic disconnections, while leading to improvements in resource economy. A variety of innovative techniques have been successfully applied to the C–H diversification of pharmaceuticals, and these key developments have enabled medicinal chemists to integrate LSF strategies in their drug discovery programmes. This Review highlights the significant advances achieved in the late-stage C–H functionalization of drugs and drug-like compounds, and showcases how the implementation of these modern strategies allows increased efficiency in the drug discovery process. Representative examples are examined and classified by mechanistic patterns involving directed or innate C–H functionalization, as well as emerging reaction manifolds, such as electrosynthesis and biocatalysis, among others. Structurally complex bioactive entities beyond small molecules are also covered, including diversification in the new modalities sphere. The challenges and limitations of current LSF methods are critically assessed, and avenues for future improvements of this rapidly expanding field are discussed. We, hereby, aim to provide a toolbox for chemists in academia as well as industrial practitioners, and introduce guiding principles for the application of LSF strategies to access new molecules of interest. Late-stage C–H functionalization of complex molecules has emerged as a powerful tool in drug discovery. This Review classifies significant examples by reaction manifold and assesses the benefits and challenges of each approach. Avenues for future improvements of this fast-expanding field are proposed.
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