To increase experimental efficiency, information can be encoded in parallel by taking advantage of highly resolved NMR spectra. Here we demonstrate parallel encoding of optimal diffusion parameters by selectively using a resonance for each molecule in the sample. This yields a factor of n decrease in experimental time since n experiments can be encoded into a single measurement. This principle can be extended to additional experimental parameters as a means to further improve measurement time.

The HSQC experiment developed by Bodenhausen and Ruben is a cornerstone for modern NMR. When used in the field of metabolomics, the common practice of decoupling in the proton dimension limits the acquisition time and hence the resolution. Here, we present a virtual decoupling method to maintain both spectral simplicity and resolution, and demonstrate how it increases information content with the zebra mussel metabolome as an example.

In drug discovery, ready access to accurate atomic resolution information revealing conformations and dynamics of novel small molecules in solution guides rational design to optimize drug potency and physical chemistry. We developed an efficient integration of molecular dynamics calculations and visualization protocols with NMR conformational analysis of free ligands in solution. Agreement between experiment and theory inspires confidence in prospective computational analysis of new designs.

Derivatives of the amino acids tryptophan and tyrosine were studied in their potential to enhance their signal in nuclear magnetic resonance spectroscopy (NMR) by laser-induced dynamic nuclear polarisation (CIDNP). Signal enhancement up to two orders of magnitude was obtained.

The application of anisotropic NMR parameters for the correct structural assignment of small molecules requires the use of partially ordered media. Previously, we demonstrated that P3D simulations allow for the determination of the correct diastereomer. Here we show that when steric or electrostatic factors dominate the alignment, P3D retains its diastereomer discrimination power and can define conformational ensembles of flexible molecules from sparse NMR data.