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基于机器学习化学计量学的手性胺对映体过量测定法的数据科学引导校准曲线预测。

Data-science-guided calibration curve prediction of an MLCT-based ee determination assay for chiral amines.

作者信息

Howard James R, Shuluk Julia R, Bhakare Arya, Anslyn Eric V

机构信息

Department of Chemistry, The University of Texas at Austin, Austin, TX 78705 (USA).

Lead contact.

出版信息

Chem. 2024 Jul 11;10(7):2074-2088. doi: 10.1016/j.chempr.2024.05.009. Epub 2024 Jun 12.

Abstract

Circular dichroism (CD) based enantiomeric excess (ee) determination assays are optical alternatives to chromatographic ee determination in high-throughput screening (HTS) applications. However, the implementation of these assays requires calibration experiments using enantioenriched materials. We present a data-driven approach that circumvents the need for chiral resolution and calibration experiments for an octahedral Fe(II) complex (1) used for the ee determination of α-chiral primary amines. By computationally parameterizing the imine ligands formed in the assay conditions, a model of the circular dichroism (CD) response of the Fe(II) assembly was developed. Using this model, calibration curves were generated for four analytes and compared to experimentally generated curves. In a single-blind ee determination study, the ee values of unknown samples were determined within 9% mean absolute error, which rivals the error using experimentally generated calibration curves.

摘要

基于圆二色性(CD)的对映体过量(ee)测定法是高通量筛选(HTS)应用中色谱ee测定的光学替代方法。然而,这些测定法的实施需要使用对映体富集材料进行校准实验。我们提出了一种数据驱动的方法,该方法无需对用于α-手性伯胺ee测定的八面体Fe(II)配合物(1)进行手性拆分和校准实验。通过在计算上对测定条件下形成的亚胺配体进行参数化,建立了Fe(II)组装体的圆二色性(CD)响应模型。使用该模型,为四种分析物生成了校准曲线,并与实验生成的曲线进行了比较。在一项单盲ee测定研究中,未知样品的ee值在平均绝对误差9%以内被测定,这与使用实验生成的校准曲线的误差相当。

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