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Fast Multidimensional NMR Spectroscopy Using Compressed Sensing
Author(s) -
Holland Daniel J.,
Bostock Mark J.,
Gladden Lynn F.,
Nietlispach Daniel
Publication year - 2011
Publication title -
angewandte chemie international edition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.831
H-Index - 550
eISSN - 1521-3773
pISSN - 1433-7851
DOI - 10.1002/anie.201100440
Subject(s) - robustness (evolution) , generality , computer science , nuclear magnetic resonance spectroscopy , spectroscopy , spectral line , nmr spectra database , information retrieval , algorithm , data mining , chemistry , physics , stereochemistry , psychology , biochemistry , quantum mechanics , astronomy , psychotherapist , gene
Make it snappy! The use of compressed sensing to reconstruct multidimensional NMR spectra enables significant reductions in recording time. Thus, 3D HNCA (blue) and HN(CO)CA spectra (green) of sufficient quality for rapid protein‐backbone assignment were reconstructed from only 16 % of the fully sampled data. The generality of the method and its robustness to noise should make it more broadly applicable, for example, to solid‐state NMR spectroscopy.