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基于量子化学的环糊精和多糖基手性固定相上对映体分离模拟

Quantum Chemistry Based Simulation of Enantioseparation on Cyclodextrin- and Polysaccharide-Based Chiral Stationary Phases.

作者信息

Nelles-Ziegler Linda, Plett Christoph, Grimme Stefan

机构信息

Mulliken Center for Theoretical Chemistry, Clausius Institute for Physical and Theoretical Chemistry, University of Bonn, Beringstr. 4, 53115, Bonn, Germany.

出版信息

Chemistry. 2025 Jul 11;31(39):e202501398. doi: 10.1002/chem.202501398. Epub 2025 Jun 16.

DOI:10.1002/chem.202501398
PMID:40459668
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12258693/
Abstract

We assess the capability of modern quantum chemical methods to simulate enantioseparation on chiral stationary phases (CSPs) in high-performance liquid chromatography (HPLC) by comparing calculated and experimental elution orders (EEOs). Compared to previous studies, this work utilizes more accurate state-of-the-art density functional theory (DFT) methods combined with automated computational workflows. The proposed approach employs molecular docking, conformer sampling, and DFT refinement for final ensemble-based association free energy calculations of two diastereomeric complexes. Ten drug-type molecules were considered on two common CSPs for which various molecular models were investigated. Although the association free energies of the strongest binding motifs were rather system-dependen t ranging from about -9 to 29 kcal/mol, the differences between the two enantiomers were always only a few kcal/mol, sometimes even below 1 kcal/mol. Despite these small differences, correct determination of EEOs for all tested cyclodextrin-based CSP systems was achieved. Even for more flexible polysaccharide-based CSPs, the workflow yielded correct EEO results in 90 of the tested cases, provided that a sufficiently large cut-out of the CSP material consisting of about 150 atoms was considered as a model. Due to the latter constraint, the method remains computationally expensive, requiring further research for improving practical application in, e.g., screening studies.

摘要

我们通过比较计算得到的和实验测得的洗脱顺序(EEO),评估现代量子化学方法模拟高效液相色谱(HPLC)中手性固定相(CSP)对映体分离的能力。与之前的研究相比,这项工作采用了更精确的先进密度泛函理论(DFT)方法,并结合了自动化计算工作流程。所提出的方法采用分子对接、构象异构体采样和DFT优化,对两种非对映异构体络合物进行基于最终系综的缔合自由能计算。在两种常见的CSP上考虑了10种药物类型的分子,并对其各种分子模型进行了研究。尽管最强结合基序的缔合自由能相当依赖于体系,范围约为-9至29千卡/摩尔,但两种对映体之间的差异始终只有几千卡/摩尔,有时甚至低于1千卡/摩尔。尽管存在这些小差异,但对于所有测试的基于环糊精的CSP系统,EEO均能正确测定。即使对于更灵活的基于多糖的CSP,只要将由约150个原子组成的足够大的CSP材料剪裁部分作为模型,该工作流程在90%的测试案例中都能产生正确的EEO结果。由于后一个限制,该方法在计算上仍然很昂贵,需要进一步研究以改进其在例如筛选研究中的实际应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a53d/12258693/179934977d95/CHEM-31-e202501398-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a53d/12258693/c9b6a42038e1/CHEM-31-e202501398-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a53d/12258693/23ea10d3cfc1/CHEM-31-e202501398-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a53d/12258693/b04134817e3c/CHEM-31-e202501398-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a53d/12258693/fd3aa1f5eec5/CHEM-31-e202501398-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a53d/12258693/ed46f0c59123/CHEM-31-e202501398-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a53d/12258693/3b4471c644c9/CHEM-31-e202501398-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a53d/12258693/fbfc001652f2/CHEM-31-e202501398-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a53d/12258693/179934977d95/CHEM-31-e202501398-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a53d/12258693/c9b6a42038e1/CHEM-31-e202501398-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a53d/12258693/23ea10d3cfc1/CHEM-31-e202501398-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a53d/12258693/b04134817e3c/CHEM-31-e202501398-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a53d/12258693/fd3aa1f5eec5/CHEM-31-e202501398-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a53d/12258693/ed46f0c59123/CHEM-31-e202501398-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a53d/12258693/3b4471c644c9/CHEM-31-e202501398-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a53d/12258693/fbfc001652f2/CHEM-31-e202501398-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a53d/12258693/179934977d95/CHEM-31-e202501398-g003.jpg

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