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

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.

Authors

Institutions

Publication Details

Journal
Chirality
Published
2025-06-17
DOI
https://doi.org/10.1002/chir.70042
Citations
3
Primary Topic
Analytical Chemistry and Chromatography
Type
article
Field-Weighted Citation Impact
2.27

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Sergiu G. Shova, Alina Ghinet, Éric Boulanger, Anca‐Elena Dascălu et al.
3 citations
Chirality
Analytical Chemistry and Chromatography
2.27
article

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

Sergiu G. Shova, Alina Ghinet, Éric Boulanger, Anca‐Elena Dascălu, Emmanuelle Lipka
article en
3 citations

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.

ChiralityVol. 37(7)
Alexandru Ioan Cuza University (RO), Inserm (FR), Université de Lille (FR), Institut Pasteur de Lille (FR), Centre Hospitalier Universitaire de Lille (FR)
Agence Nationale de la Recherche
Openalex Percentile: Top 12%
Analytical Chemistry and Chromatography
2.27
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.