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

TLDR: In this paper, the authors provide a toolbox for chemists in academia as well as industrial practitioners, and introduce guiding principles for the application of late-stage functionalization strategies to access new molecules of interest.

Abstract: 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.