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不对称催化中的一般性筛选。

Screening for generality in asymmetric catalysis.

机构信息

Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.

Discovery Chemistry, Merck & Co. Inc, Boston, MA, USA.

出版信息

Nature. 2022 Oct;610(7933):680-686. doi: 10.1038/s41586-022-05263-2. Epub 2022 Sep 1.

Abstract

Research in the field of asymmetric catalysis over the past half century has resulted in landmark advances, enabling the efficient synthesis of chiral building blocks, pharmaceuticals and natural products. A small number of asymmetric catalytic reactions have been identified that display high selectivity across a broad scope of substrates; not coincidentally, these are the reactions that have the greatest impact on how enantioenriched compounds are synthesized. We postulate that substrate generality in asymmetric catalysis is rare not simply because it is intrinsically difficult to achieve, but also because of the way chiral catalysts are identified and optimized. Typical discovery campaigns rely on a single model substrate, and thus select for high performance in a narrow region of chemical space. Here we put forth a practical approach for using multiple model substrates to select simultaneously for both enantioselectivity and generality in asymmetric catalytic reactions from the outset. Multisubstrate screening is achieved by conducting high-throughput chiral analyses by supercritical fluid chromatography-mass spectrometry with pooled samples. When applied to Pictet-Spengler reactions, the multisubstrate screening approach revealed a promising and unexpected lead for the general enantioselective catalysis of this important transformation, which even displayed high enantioselectivity for substrate combinations outside of the screening set.

摘要

在过去的半个世纪里,不对称催化领域的研究取得了重大进展,使得手性构建块、药物和天然产物的高效合成成为可能。已经确定了少数不对称催化反应,它们在广泛的底物范围内具有高选择性;并非巧合的是,这些反应对如何合成手性富集化合物的影响最大。我们假设不对称催化中的底物通用性罕见,不仅是因为它本质上难以实现,还因为手性催化剂的识别和优化方式。典型的发现策略依赖于单个模型底物,因此仅在化学空间的狭窄区域内选择高性能。在这里,我们提出了一种实用的方法,通过使用多模型底物,从一开始就同时选择不对称催化反应的对映选择性和通用性。通过使用超临界流体色谱-质谱法对混合样品进行高通量手性分析来实现多底物筛选。当应用于 Pictet-Spengler 反应时,多底物筛选方法揭示了一个有前途的、意想不到的通用手性催化该重要转化的先导化合物,即使对于筛选组之外的底物组合,它也表现出高对映选择性。

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