Xu Lanting, Zhu Jiazhou, Shen Xiaodong, Chai Jiashuang, Shi Lei, Wu Bin, Li Wei, Ma Dawei
State Key Laboratory of Chemical Biology, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 345 Lingling Lu, Shanghai, 200032, China.
Suzhou Novartis Technical Development Co., Ltd., #18-1, Tonglian Road, Bixi Subdistrict, Changshu, Jiangsu, 215537, China.
Angew Chem Int Ed Engl. 2024 Dec 20;63(52):e202412552. doi: 10.1002/anie.202412552. Epub 2024 Oct 25.
Hydroxylated (hetero)arenes are privileged motifs in natural products, materials, small-molecule pharmaceuticals and serve as versatile intermediates in synthetic organic chemistry. Herein, we report an efficient Cu(I)/6-hydroxy picolinohydrazide-catalyzed hydroxylation reaction of (hetero)aryl halides (Br, Cl) in water. By establishing machine learning (ML) models, the design of ligands and optimization of reaction conditions were effectively accelerated. The N-(1,3-dimethyl-9H- carbazol-9-yl)-6-hydroxypicolinamide (L32, 6-HPA-DMCA) demonstrated high efficiency for (hetero)aryl bromides, promoting hydroxylation reactions with a minimal catalyst loading of 0.01 mol % (100 ppm) at 80 °C to reach 10000 TON; for substrates containing sensitive functional groups, the catalyst loading needs to be increased to 3.0 mol % under near-room temperature conditions. N-(2,7-Di-tert-butyl-9H-carbazol-9-yl)-6-hydroxypicolinamide (L42, 6-HPA-DTBCA) displayed superior reaction activity for chloride substrates, enabling hydroxylation reactions at 100 °C with 2-3 mol % catalyst loading. These represent the state of art for both lowest catalyst loading and temperature in the copper-catalyzed hydroxylation reactions. Furthermore, this method features a sustainable and environmentally friendly solvent system, accommodates a wide range of substrates, and shows potential for developing robust and scalable synthesis processes for key pharmaceutical intermediates.
羟基化(杂)芳烃是天然产物、材料、小分子药物中的优势结构单元,并且在有机合成化学中作为通用中间体。在此,我们报道了一种在水中由铜(I)/6-羟基吡啶甲酰肼催化的(杂)芳基卤化物(溴、氯)的高效羟基化反应。通过建立机器学习(ML)模型,有效地加速了配体的设计和反应条件的优化。N-(1,3-二甲基-9H-咔唑-9-基)-6-羟基吡啶甲酰胺(L32,6-HPA-DMCA)对(杂)芳基溴化物表现出高效性,在80℃下以低至0.01 mol %(100 ppm)的催化剂负载量促进羟基化反应,达到10000的TON;对于含有敏感官能团的底物,在近室温条件下催化剂负载量需要增加到3.0 mol %。N-(2,7-二叔丁基-9H-咔唑-9-基)-6-羟基吡啶甲酰胺(L42,6-HPA-DTBCA)对氯化物底物表现出优异的反应活性,在100℃下以2 - 3 mol %的催化剂负载量实现羟基化反应。这些代表了铜催化羟基化反应中最低催化剂负载量和温度的当前水平。此外,该方法具有可持续且环境友好的溶剂体系,适用于广泛的底物,并显示出为关键药物中间体开发稳健且可扩展的合成工艺的潜力。