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对映体保留趋势的分子对接观察及手性固定相的选择

Molecular Docking Observations on Enantiomeric Retention Trends and Selection of Chiral Stationary Phase.

作者信息

Dascălu Anca-Elena, Ghinet Alina, Boulanger Eric, Shova Sergiu, Lipka Emmanuelle

机构信息

Junia, Health and Environment, Laboratory of Sustainable Chemistry and Health, Lille, France.

UMR 1167-RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases, Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, Lille, France.

出版信息

Chirality. 2025 Jul;37(7):e70042. doi: 10.1002/chir.70042.

DOI:10.1002/chir.70042
PMID:40525822
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12172590/
Abstract

This study explores molecular docking as a predictive tool for enantiomeric separations in supercritical fluid chromatography, focusing on the binding mechanisms of chiral stationary phases. The enantiomeric separation of five chiral molecules and thalidomide was systematically evaluated using six polysaccharide-based chiral stationary phases in supercritical fluid chromatography. The influence of chiral selector type (amylose vs. cellulose), chlorination, and mobile phase composition on enantioseparation was assessed. Maximum resolution values for compounds 1-5 ranged from 1.40 to 8.90, while thalidomide achieved a resolution of up to 11.45. Retention factors (k) varied between 2.85 and 12.38, depending on CSP interactions. To gain molecular-level insights into enantioselective recognition, docking simulations using AutoDock Vina were performed, predicting binding affinities between -7.85 and -6.40. These predictions were systematically compared with experimental results to assess docking's reliability in capturing key retention descriptors. The study further characterized the absolute configurations of semipreparatively isolated enantiomers through X-ray crystallography and optical rotation measurements, confirming stereochemistry and validating enantiomeric purity. By bridging computational modeling with experimental workflows, this study demonstrates the potential of molecular docking to support chromatographic method development, reducing reliance on trial-and-error optimization.

摘要

本研究探索分子对接作为超临界流体色谱中对映体分离的预测工具,重点关注手性固定相的结合机制。在超临界流体色谱中,使用六种基于多糖的手性固定相系统地评估了五种手性分子和沙利度胺的对映体分离。评估了手性选择剂类型(直链淀粉与纤维素)、氯化作用和流动相组成对对映体分离的影响。化合物1-5的最大分离度值在1.40至8.90之间,而沙利度胺的分离度高达11.45。保留因子(k)在2.85至12.38之间变化,具体取决于手性固定相的相互作用。为了深入了解对映体选择性识别的分子水平机制,使用AutoDock Vina进行了对接模拟,预测结合亲和力在-7.85至-6.40之间。将这些预测结果与实验结果进行系统比较,以评估对接在捕捉关键保留描述符方面的可靠性。该研究还通过X射线晶体学和旋光测量进一步表征了半制备分离的对映体的绝对构型,确认了立体化学并验证了对映体纯度。通过将计算建模与实验工作流程相结合,本研究证明了分子对接在支持色谱方法开发方面的潜力,减少了对反复试验优化的依赖。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af6/12172590/50e6f50a8bd2/CHIR-37-e70042-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af6/12172590/d092a0d25158/CHIR-37-e70042-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af6/12172590/3b3d42a02996/CHIR-37-e70042-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af6/12172590/9e998798de28/CHIR-37-e70042-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af6/12172590/f0aaf22eed5c/CHIR-37-e70042-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af6/12172590/b9e204dd278e/CHIR-37-e70042-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af6/12172590/50e6f50a8bd2/CHIR-37-e70042-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af6/12172590/d092a0d25158/CHIR-37-e70042-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af6/12172590/3b3d42a02996/CHIR-37-e70042-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af6/12172590/9e998798de28/CHIR-37-e70042-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af6/12172590/f0aaf22eed5c/CHIR-37-e70042-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af6/12172590/b9e204dd278e/CHIR-37-e70042-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af6/12172590/50e6f50a8bd2/CHIR-37-e70042-g006.jpg

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