Computationally Guided Ligand Discovery from Compound Libraries and Discovery of a New Class of Ligands for Ni-Catalyzed Cross-Electrophile Coupling of Challenging Quinoline Halides
作者:Sergei Tcyrulnikov、Aran K. Hubbell、Dylan Pedro、Giselle P. Reyes、Sebastien Monfette、Daniel J. Weix、Eric C. Hansen
DOI:10.1021/jacs.3c14607
日期:2024.3.13
discovery, its application to the discovery of new catalyst classes has been limited. The diversity of on- and off-cycle pathways, combined with incomplete mechanistic understanding, means that screens of potential new ligands have thus far been guided by intuitive analysis of the metal binding potential. This has resulted in the discovery of new classes of ligands, but the low hit rates have limited the
尽管筛选技术对金属催化和药物发现领域产生了重大影响,但其在新催化剂类别发现中的应用受到限制。循环内和循环外途径的多样性,加上不完整的机制理解,意味着潜在新配体的筛选迄今为止一直是通过金属结合电位的直观分析来指导的。这导致了新型配体的发现,但低命中率限制了这种策略的使用,因为大屏幕需要相当大的成本和精力。在这里,我们展示了一种通过简单且可扩展的计算和线性回归工具来识别有希望的筛选方向的方法,该方法可以显着提高命中率,从而能够使用较小的屏幕来寻找新的配体。将该方法应用于镍催化的芳基卤化物与烷基卤化物的交叉亲电子偶联的特定示例,揭示了一个先前被忽视的趋势:与更多缺电子脒配体的反应导致更高的产率。利用这一趋势的集中筛选比基于偶然性的筛选更成功,并导致发现了两种新型配体:吡啶基恶二唑和吡啶基肟。这些配体对于溴代喹啉、氯代喹啉和异喹啉的偶联特别有效,它们是目前最先进的。这些模型的简单性以及源自无金属配