Resolving Conformational Preferences of Monosaccharides from ¹ H and ¹³ C NMR Chemical Shifts Using an Integrated MD and QM Approach

High Resolution Image Download MS PowerPoint Slide Solution-state NMR spectroscopy is a powerful experimental technique that provides insight into the molecular structure and dynamics of saccharides in aqueous solution. Computational tools commonly used for modeling carbohydrate conformations, such as molecular dynamics (MD) simulations and quantum mechanical (QM) calculations, provide information on the inherent dynamics of conformational changes and structure-dependent NMR parameters, respectively; however, understanding how NMR parameters depend on dynamic conformational behavior remains challenging. Herein, we present an integrated MD and QM approach to accurately determine NMR parameters, in particular 1 H and 13 C NMR chemical shifts of saccharides. Classical MD simulations are used to sample conformational space, and representative structures are subsequently subjected to QM calculations to obtain NMR parameters, which are averaged according to populations in different conformational states. This approach reproduces experimental NMR chemical shifts with high accuracy (MAE = 0.96 ppm for 13 C and 0.066 ppm for 1 H relative to experimental data) across 11 monosaccharide entities. In parallel, we establish a quantitative relationship between conformational properties of monosaccharides and the chemical shift values. In this context, empirical relationships between chemical shifts and torsional angles enable mapping of structural descriptors onto NMR observables. Furthermore, we demonstrate that the use of conformation-dependent chemical shifts allows quantitative description of conformational equilibria within monosaccharide molecules. Average chemical shift values assigned to discrete conformers (e.g., ring conformers or hydroxymethyl rotamers) and to atoms in the vicinity of torsion angle transitions are analyzed; populations in distinct conformational states are optimized by minimizing deviations from experimental NMR chemical shifts. This approach enables determination of gt: gg: tg populations of hydroxymethyl group rotamers in β- d -Glc p -OMe, α- d -Man p -OMe and α- d -Gal p -OMe, as well as the chair:inverted chair ratio for the β- d -Ara p -OMe six-atom membered ring. Overall, this study establishes a framework in which NMR chemical shifts serve as quantitative probes of carbohydrate conformation, complementing traditional J coupling-based analyses.