Fluctuations of NMR resonance frequency shifts and their relation with protein exchanging conformations are usually analyzed in terms of simple two-site jump processes. However, this description is unable to account for the presence of multiple time scale dynamics. In this work, we present an alternative model for the interpretation of the stochastic… (More)
Nuclear magnetic resonance is used to investigate the backbone dynamics in 6-phosphogluconolactonase from Trypanosoma brucei (Tb6PGL) with (holo-) and without (apo-) 6-phosphogluconic acid as ligand. Relaxation data were analyzed using the model-free approach and reduced spectral density mapping. Comparison of predictions, based on 77 ns molecular dynamics… (More)
In this paper some effects of dynamical coupling between two interaction-carrying vectors on the internal auto- and cross-correlation functions are investigated in the limit of small amplitude motions. A linearized Langevin approach allows the derivation of explicit expressions for these correlation functions and for the corresponding order parameters.
In this article, we present a clustering method of atoms in proteins based on the analysis of the correlation times of interatomic distance correlation functions computed from MD simulations. The goal is to provide a coarse-grained description of the protein in terms of fewer elements that can be treated as dynamically independent subunits. Importantly,… (More)
The optimum conditions for the formation of plate-like and urchin-like microcrystals of biomolecules and their transfer to rotors for solid-state NMR spectroscopy depend on a variety of factors, of which minimizing the manipulation of the microcrystals and storing the sample for several months at 277 K (4 °C) play an important role. Three biological systems… (More)
In a recent simulation study [J. Chem. Phys. 2010, 133, 145101], it has been shown that the time correlation functions probed by nuclear magnetic resonance (NMR) relaxation spectroscopy of proteins are well described by a fractional Brownian dynamics model, which accounts for the wide spectrum of relaxation rates characterizing their internal dynamics.… (More)
In this article, a formal expression for the conformational entropy of a bond vector in a protein is derived using the networks of coupled rotators model for the description of internal dynamics. Analytical relationships between NMR order parameters and conformational entropies are derived, and the possibility to extract the latter from NMR experiments is… (More)
We show that the prediction of (15)N relaxation rates in proteins can be extended to systems with anisotropic global rotational diffusion by using a network of coupled rotators (NCR), starting from a three-dimensional structure. The relaxation rates predicted by this method are confronted in several examples with experiments performed by other groups. The… (More)