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Disentangling Glycan-Protein Interactions: Nuclear Magnetic Resonance (NMR) to the Rescue
Published on: May 17, 2024
Aromatic-carbohydrate interactions: an NMR and computational study of model systems
Sophie Vandenbussche1, Dolores Díaz, María Carmen Fernández-Alonso
1Molecular & Biomolecular Engineering, Université Libre de Bruxelles, Brussels, Belgium.
Chemistry (Weinheim an Der Bergstrasse, Germany)
|May 17, 2008
Summary
Simple carbohydrates interact with aromatic compounds like phenol and amino acids. These interactions, studied by NMR spectroscopy, depend on sugar structure and solvent, influencing molecular geometries.
Area of Science:
- Carbohydrate Chemistry
- Supramolecular Chemistry
- Biophysical Chemistry
Background:
- Understanding carbohydrate-aromatic interactions is crucial in various biological and chemical processes.
- Aromatic moieties are prevalent in biological systems, interacting with carbohydrates in diverse ways.
Purpose of the Study:
- To investigate the interactions between simple carbohydrates and aromatic compounds using experimental and computational methods.
- To elucidate the influence of sugar structure and solvent on these interactions.
Main Methods:
- Nuclear Magnetic Resonance (NMR) spectroscopy was employed to monitor chemical shift changes.
- Intermolecular Nuclear Overhauser Effect (NOE) experiments were used to study solvation states.
- Density Functional Theory (DFT) and molecular mechanics calculations were performed for comparison.
Main Results:
- NMR chemical shift analysis revealed distinct sugar-aromatic interaction geometries.
- Observed interactions were dependent on the specific carbohydrate's stereochemistry and the solvent environment.
- NOE studies provided insights into the solvation of a model monosaccharide in the presence of aromatic molecules.
Conclusions:
- The study provides experimental evidence for specific interactions between carbohydrates and aromatic compounds.
- Results highlight the importance of stereochemistry and solvent effects in governing these molecular associations.
- Integration of experimental and computational data offers a comprehensive understanding of carbohydrate-aromatic interactions.
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