Non‐uniform sampling: post‐Fourier era of NMR data collection and processing
K Kazimierczuk, V Orekhov - Magnetic Resonance in …, 2015 - Wiley Online Library
The invention of multidimensional techniques in the 1970s revolutionized NMR, making it
the general tool of structural analysis of molecules and materials. In the most straightforward …
the general tool of structural analysis of molecules and materials. In the most straightforward …
Random sampling in multidimensional NMR spectroscopy
K Kazimierczuk, J Stanek… - Progress in nuclear …, 2010 - Elsevier
Nuclear Magnetic Resonance (NMR) is nowadays one of the most efficient spectroscopic
techniques, providing insight into molecular structure and dynamics. The sources of the …
techniques, providing insight into molecular structure and dynamics. The sources of the …
Automated projection spectroscopy (APSY)
S Hiller, F Fiorito, K Wüthrich… - Proceedings of the …, 2005 - National Acad Sciences
This work presents the automated projection spectroscopy (APSY) method for the recording
of discrete sets of j projections from N-dimensional (N≥ 3) NMR experiments at operator …
of discrete sets of j projections from N-dimensional (N≥ 3) NMR experiments at operator …
Projection− reconstruction technique for speeding up multidimensional NMR spectroscopy
Ē Kupče, R Freeman - Journal of the American Chemical …, 2004 - ACS Publications
The acquisition of multidimensional NMR spectra can be speeded up by a large factor by a
projection− reconstruction method related to a technique used in X-ray scanners. The …
projection− reconstruction method related to a technique used in X-ray scanners. The …
Projection− reconstruction of three-dimensional NMR spectra
Ē Kupče, R Freeman - Journal of the American Chemical …, 2003 - ACS Publications
When three-dimensional NMR spectra are presented as two stereoscopic images, they
create a convincing three-dimensional impression for the viewer. In an extension of this …
create a convincing three-dimensional impression for the viewer. In an extension of this …
Two-dimensional Fourier transform of arbitrarily sampled NMR data sets
A new procedure for Fourier transform with respect to more than one time variable
simultaneously is proposed for NMR data processing. In the case of two-dimensional …
simultaneously is proposed for NMR data processing. In the case of two-dimensional …
Random sampling of evolution time space and Fourier transform processing
K Kazimierczuk, A Zawadzka, W Koźmiński… - Journal of biomolecular …, 2006 - Springer
Abstract Application of Fourier Transform for processing 3D NMR spectra with random
sampling of evolution time space is presented. The 2D FT is calculated for pairs of …
sampling of evolution time space is presented. The 2D FT is calculated for pairs of …
High-resolution iterative frequency identification for NMR as a general strategy for multidimensional data collection
HR Eghbalnia, A Bahrami, M Tonelli… - Journal of the …, 2005 - ACS Publications
We describe a novel approach to the rapid collection and processing of multidimensional
NMR data:“high-resolution iterative frequency identification for NMR”(HIFI− NMR). As with …
NMR data:“high-resolution iterative frequency identification for NMR”(HIFI− NMR). As with …
Strategy for complete NMR assignment of disordered proteins with highly repetitive sequences based on resolution-enhanced 5D experiments
V Motáčková, J Nováček… - Journal of biomolecular …, 2010 - Springer
A strategy for complete backbone and side-chain resonance assignment of disordered
proteins with highly repetitive sequence is presented. The protocol is based on three …
proteins with highly repetitive sequence is presented. The protocol is based on three …
Iterative algorithm of discrete Fourier transform for processing randomly sampled NMR data sets
J Stanek, W Koźmiński - Journal of biomolecular NMR, 2010 - Springer
Spectra obtained by application of multidimensional Fourier Transformation (MFT) to
sparsely sampled nD NMR signals are usually corrupted due to missing data. In the present …
sparsely sampled nD NMR signals are usually corrupted due to missing data. In the present …