NiH-Catalyzed Hydroamination/Cyclization Cascade: Rapid Access to Quinolines
作者:Yang Gao、Simin Yang、Yanping Huo、Qian Chen、Xianwei Li、Xiao-Qiang Hu
DOI:10.1021/acscatal.1c02055
日期:2021.7.2
metal-H-catalyzed hydroamination methodologies, considerable limitations still exist in the selectivehydroamination of alkynes, especially for terminalalkynes. Herein, we develop a highly efficient NiH catalytic system that activates readily available alkynes for a cascade hydroamination/cyclization reaction with anthranils. This mild, operationally simple protocol is amenable to a wide array of alkynes including
尽管金属-H 催化的加氢胺化方法取得了重大成功,但炔烃的选择性加氢胺化仍然存在相当大的局限性,特别是对于末端炔烃。在此,我们开发了一种高效的 NiH 催化系统,可激活容易获得的炔烃,用于与邻氨基苯甲酸的级联加氢胺化/环化反应。这种温和、操作简单的方案适用于各种炔烃,包括末端和内部、芳基和烷基、缺电子和富电子的炔烃,提供结构多样的喹啉,产率非常高(>80 个例子,高达 93%屈服)。该程序的效用体现在几种天然产物的后期功能化以及抗肿瘤分子墓地宁和三链 DNA 嵌入剂的简明合成中。
Discovery of 3-[2-(Imidazo[1,2-<i>b</i>]pyridazin-3-yl)ethynyl]-4-methyl-<i>N</i>-{4-[(4-methylpiperazin-1-yl)methyl]-3-(trifluoromethyl)phenyl}benzamide (AP24534), a Potent, Orally Active Pan-Inhibitor of Breakpoint Cluster Region-Abelson (BCR-ABL) Kinase Including the T315I Gatekeeper Mutant
作者:Wei-Sheng Huang、Chester A. Metcalf、Raji Sundaramoorthi、Yihan Wang、Dong Zou、R. Mathew Thomas、Xiaotian Zhu、Lisi Cai、David Wen、Shuangying Liu、Jan Romero、Jiwei Qi、Ingrid Chen、Geetha Banda、Scott P. Lentini、Sasmita Das、Qihong Xu、Jeff Keats、Frank Wang、Scott Wardwell、Yaoyu Ning、Joseph T. Snodgrass、Marc I. Broudy、Karin Russian、Tianjun Zhou、Lois Commodore、Narayana I. Narasimhan、Qurish K. Mohemmad、John Iuliucci、Victor M. Rivera、David C. Dalgarno、Tomi K. Sawyer、Tim Clackson、William C. Shakespeare
DOI:10.1021/jm100395q
日期:2010.6.24
In the treatment of chronic myeloid leukemia (CML) with BCR-ABL kinase inhibitors, the T315I gatekeeper mutant has emerged as resistant to all currently approved agents. This report describes the structure-guided design of a novel series of potent pan-inhibitors of BCR-ABL, including the T315I mutation. A key structural feature is the carbon-carbon triple bond linker which skirts the increased bulk of I1e315 side chain. Extensive SAR studies led to the discovery of development candidate 20g (AP24534), which inhibited the kinase activity of both native BCR-ABL and the T315I mutant with low nM IC(50)s, and potently inhibited proliferation of corresponding Ba/F3-derived cell lines. Daily oral administration of 20g significantly prolonged survival of mice injected intravenously with BCR-ABL(T315I) expressing Ba/F3 cells. These data, coupled with a favorable ADME profile, support the potential of 20g to be an effective treatment for CM L, including patients refractory to all currently approved therapies.
Rapid Discovery of a Novel Series of Abl Kinase Inhibitors by Application of an Integrated Microfluidic Synthesis and Screening Platform
作者:Bimbisar Desai、Karen Dixon、Elizabeth Farrant、Qixing Feng、Karl R. Gibson、Willem P. van Hoorn、James Mills、Trevor Morgan、David M. Parry、Manoj K. Ramjee、Christopher N. Selway、Gary J. Tarver、Gavin Whitlock、Adrian G. Wright
DOI:10.1021/jm400099d
日期:2013.4.11
Drug discovery faces economic and scientific imperatives to deliver lead molecules rapidly and efficiently. Using traditional paradigms the molecular design, synthesis, and screening loops enforce a significant time delay leading to inefficient use of data in the iterative molecular design process. Here, we report the application of a flow technology platform integrating the key elements of structure activity relationship (SAR) generation to the discovery of novel Abl kinase inhibitors. The platform utilizes flow chemistry for rapid in-line synthesis, automated purification, and analysis coupled with bioassay. The combination of activity prediction using Random-Forest regression with chemical space sampling algorithms allows the construction of an activity model that refines itself after every iteration of synthesis and biological result. Within just 21 compounds, the automated process identified a novel template and hinge binding motif with pIC(50) > 8 against Abl kinase - both wild type and clinically relevant mutants. Integrated microfluidic synthesis and screening coupled with machine learning design have the potential to greatly reduce the time and cost of drug discovery within the hit-to-lead and lead optimization phases.