Scalar couplings give rise to peak splitting in nuclear magnetic resonance (NMR) spectra. Couplings between atoms that span a rotatable bond report on the rotation angle of the bond. Here, we describe a new computational method that can be used to analyze complex patterns of peak splitting. In addition to showing new ways of visualizing and analyzing the underlying data, we uncover how isolated parts of proteins behave differently than when they are embedded in a folded protein.

Diffusive motion in confined three-site relaxation exchange was studied in Monte Carlo simulations. In thermodynamic equilibrium, the cross-peaks in NMR relaxation exchange maps are symmetric. Asymmetry is observed in mass-balanced driven equilibrium corresponding to circular flow. If this motion can be stimulated by external forces, it can be beneficial to heterogeneous catalysis.

A straightforward, rather accurate approach to extract quantitative restraints for the structure calculation of ligand–protein complexes is presented.

Quantitative analysis of mixtures is a challenge in applications ranging from foods to industrial chemistry. Nuclear magnetic resonance (NMR) is increasingly used for analysis; however, overlapping peaks in the spectrum pose a major difficulty, especially for the new generation of benchtop NMR instruments. We propose a fast and simple model-based approach to enhance the accuracy of quantification. We demonstrate it on industrially relevant test samples where the accuracy is increased by 40 %.

Nuclear magnetic resonance is a technique that allows the measurement of the nanoscale distances between the atoms of a molecule. It is often relied upon for finding the structure of a molecule and how atoms are bonded, but measurements become inaccurate for large distances and therefore for large biological molecules. This research presents a new software for calculating the distances between nuclei and unpaired electrons which offers more accurate long-range distances in biological molecules.