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Updated: Apr 16, 2026

Atomic Scale Structural Studies of Macromolecular Assemblies by Solid-state Nuclear Magnetic Resonance Spectroscopy
Published on: September 17, 2017
Informing saccharide structural NMR studies with density functional theory calculations.
Thomas Klepach1, Hongqiu Zhao, Xiaosong Hu
1Department of Chemistry and Biochemistry, University of Notre Dame, 251 Nieuwland Science Hall, Notre Dame, IN, 46556-5670, USA.
Density functional theory (DFT) aids in interpreting NMR J-couplings in saccharides. This computational approach quantifies hydroxyl group effects on structure and conformation in solution.
Area of Science:
- Carbohydrate Chemistry
- Computational Chemistry
- Structural Biology
Background:
- NMR spin-spin coupling constants (J-couplings) are crucial for saccharide structure determination.
- Hydroxyl groups in saccharides significantly influence J-couplings, presenting interpretation challenges.
- Conformational averaging in solution complicates experimental analysis of saccharide structures.
Purpose of the Study:
- To utilize Density Functional Theory (DFT) for interpreting NMR J-couplings in saccharides.
- To elucidate the influence of hydroxyl groups on J-couplings and molecular conformation.
- To establish quantitative relationships between J-couplings and conformational elements.
Main Methods:
- Application of Density Functional Theory (DFT) calculations.
- Analysis of (1)H-(1)H (JHH), (13)C-(1)H (JCH), and (13)C-(13)C (JCC) coupling constants.
- Investigation of oxygen substituent effects on J-couplings.
Main Results:
- DFT provides structural interpretations for J-couplings in saccharides.
- Quantitative relationships were established between J-couplings and conformational elements.
- Oxygen substituent effects on J-couplings were linked to configurational and conformational origins.
- Redundant J-couplings were identified as valuable for flexible conformational elements.
Conclusions:
- DFT is a powerful tool for understanding saccharide conformation via J-coupling analysis.
- The findings aid in studying saccharide structure and conformation in solution.
- This approach can help validate and refine computational methods like molecular dynamics (MD) simulations.
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