The application of non-uniform sampling (NUS) to relaxation experiments traditionally used to characterize the fast internal motion of proteins is quantitatively examined. Experimentally acquired Poisson-gap sampled data reconstructed with iterative soft thresholding are compared to regular sequentially sampled (RSS) data. Using ubiquitin as a model system, it is shown that 25Â*% sampling is sufficient for the determination of quantitatively accurate relaxation rates. When the sampling density is fixed at 25Â*%, the accuracy of rates is shown to increase sharply with the total number of sampled points until eventually converging near the inherent reproducibility of the experiment. Perhaps contrary to some expectations, it is found that accurate peak height reconstruction is not required for the determination of accurate rates. Instead, inaccuracies in rates arise from inconsistencies in reconstruction across the relaxation series that primarily manifest as a non-linearity in the recovered peak height. This indicates that the performance of an NUS relaxation experiment cannot be predicted from comparison of peak heights using a single RSS reference spectrum. The generality of these findings was assessed using three alternative reconstruction algorithms, eight different relaxation measurements, and three additional proteins that exhibit varying degrees of spectral complexity. From these data, it is revealed that non-linearity in peak height reconstruction across the relaxation series is strongly correlated with errors in NUS-derived relaxation rates. Importantly, it is shown that this correlation can be exploited to reliably predict the performance of an NUS-relaxation experiment by using three or more RSS reference planes from the relaxation series. The RSS reference time points can also serve to provide estimates of the uncertainty of the sampled intensity, which for a typical relaxation times series incurs no penalty in total acquisition time.
[NMR paper] Structure determination of uniformly (13)C, (15)N labeled protein using qualitative distance restraints from MAS solid-state (13)C-NMR observed paramagnetic relaxation enhancement.
Structure determination of uniformly (13)C, (15)N labeled protein using qualitative distance restraints from MAS solid-state (13)C-NMR observed paramagnetic relaxation enhancement.
Related Articles Structure determination of uniformly (13)C, (15)N labeled protein using qualitative distance restraints from MAS solid-state (13)C-NMR observed paramagnetic relaxation enhancement.
J Biomol NMR. 2016 Jan 4;
Authors: Tamaki H, Egawa A, Kido K, Kameda T, Kamiya M, Kikukawa T, Aizawa T, Fujiwara T, Demura M
Abstract
Magic angle spinning...
Analysis of non-uniformly sampled spectra with multi-dimensional decomposition
Analysis of non-uniformly sampled spectra with multi-dimensional decomposition
Publication year: 2011
Source:Progress in Nuclear Magnetic Resonance Spectroscopy, Volume 59, Issue 3</br>
Vladislav Yu. Orekhov, Victor A. Jaravine</br>
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03-09-2012 09:16 AM
Application of iterative soft thresholding for fast reconstruction of NMR data non-uniformly sampled with multidimensional Poisson Gap scheduling
Application of iterative soft thresholding for fast reconstruction of NMR data non-uniformly sampled with multidimensional Poisson Gap scheduling
Abstract The fast Fourier transformation has been the gold standard for transforming data from time to frequency domain in many spectroscopic methods, including NMR. While reliable, it has as a drawback that it requires a grid of uniformly sampled data points. This needs very long measuring times for sampling in multidimensional experiments in all indirect dimensions uniformly and even does not allow reaching optimal evolution times that would...
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02-16-2012 05:24 AM
Analysis of non-uniformly sampled spectra with Multi-Dimensional Decomposition
Analysis of non-uniformly sampled spectra with Multi-Dimensional Decomposition
Publication year: 2011
Source: Progress in Nuclear Magnetic Resonance Spectroscopy, In Press, Accepted Manuscript, Available online 24 February 2011</br>
Vladislav Yu., Orekhov , Victor A., Jaravine</br>
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02-26-2011 01:07 PM
FM reconstruction of non-uniformly sampled protein NMR data at higher dimensions and optimization by distillation
FM reconstruction of non-uniformly sampled protein NMR data at higher dimensions and optimization by distillation
Abstract Non-uniform sampling (NUS) enables recording of multidimensional NMR data at resolutions matching the resolving power of modern instruments without using excessive measuring time. However, in order to obtain satisfying results, efficient reconstruction methods are needed. Here we describe an optimized version of the Forward Maximum entropy (FM) reconstruction method, which can reconstruct up to three indirect dimensions. For complex datasets, such as NOESY spectra,...
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01-09-2011 12:46 PM
[NMR paper] Determination of the electron relaxation rates in paramagnetic metal complexes: appli
Determination of the electron relaxation rates in paramagnetic metal complexes: applicability of available NMR methods.
Related Articles Determination of the electron relaxation rates in paramagnetic metal complexes: applicability of available NMR methods.
J Magn Reson. 2004 Apr;167(2):169-77
Authors: Jensen MR, Led JJ
Four different approaches for determining the electron relaxation rates in paramagnetic metallo-proteins are investigated, using a paramagnetic Ni2+ complex of a protein as an example. All four approaches rely on the...