Efficient modeling of symmetric protein aggregates from NMR data

An efficient approach to determine the structures of symmetric protein aggregates from liquid and solid-state NMR data is presented. Any symmetry can be used (cyclic or dihedral point symmetries, helical symmetries, crystallographic symmetries). Because the starting point is the random structure of the monomer, the knowledge of the 3D structure of the monomer is not required.     

Temperature as an Extra Dimension in Multidimensional Protein NMR Spectroscopy

NMR spectroscopy is a particularly informative method for studying protein structures and dynamics in solution; however, it is also one of the most time-consuming. Modern approaches to biomolecular NMR spectroscopy are based on lengthy multidimensional experiments, the duration of which grows exponentially with the number of dimensions. The experimental time may even be several days in the case of 3D and 4D spectra. Moreover, the experiment often has to be repeated under several different conditions, for example, to measure the temperature-dependent effects in a spectrum (temperature coefficients (TCs)). Herein, a new approach that involves joint sampling of indirect evolution times and temperature is proposed. This allows TCs to be measured through 3D spectra in even less time than that needed to acquire a single spectrum by using the conventional approach. Two signal processing methods that are complementary, in terms of sensitivity and resolution, 1) dividing data into overlapping subsets followed by compressed sensing reconstruction, and 2) treating the complete data set with a variant of the Radon transform, are proposed. The temperature-swept 3D HNCO spectra of two intrinsically disordered proteins, osteopontin and CD44 cytoplasmic tail, show that this new approach makes it possible to determine TCs and their non-linearities effectively. Non-linearities, which indicate the presence of a compact state, are particularly interesting. The complete package of data acquisition and processing software for this new approach are provided.     

Elucidation of lignin structure by quantitative 2D NMR

Quick quantitative HSQC (QQ‐HSQC) was applied to quantitative evaluation of different inter‐unit linkages in an array of milled softwood and hardwood and technical lignins by using the guaiacyl C2 and syringyl C2–C6 signals as internal standards. The results were found to be highly reproducible and comparable with earlier literature reports. The advantage of QQ‐HSQC NMR analysis of lignin is contemporary detection and quantification of lignin inter‐unit linkages with a direct, non‐destructive method requiring short acquisition times.     

Simultaneous definition of high resolution protein structure and backbone conformational dynamics using NMR residual dipolar couplings.

Despite the importance of molecular dynamics for biological activity, most approaches to protein structure determination, whether based on crystallographic or solution studies, propose three-dimensional atomic representations of a single configuration that take no account of conformational fluctuation. Non-averaged anisotropic NMR interactions, such as residual dipolar couplings, that become measurable under conditions of weak alignment, provide sensitive probes of both molecular structure and dynamics. Residual dipolar couplings are becoming increasingly powerful for the study of proteins in solution. In this minireview we present their use for the simultaneous determination of protein structure and dynamics.