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Spectral editing of two-dimensional magic-angle-spinning solid-state NMR spectra for protein resonance assignment and structure determination

Overview of attention for article published in Journal of Biomolecular NMR, October 2012
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Title
Spectral editing of two-dimensional magic-angle-spinning solid-state NMR spectra for protein resonance assignment and structure determination
Published in
Journal of Biomolecular NMR, October 2012
DOI 10.1007/s10858-012-9676-8
Pubmed ID
Authors

K. Schmidt-Rohr, K. J. Fritzsching, S. Y. Liao, Mei Hong

Abstract

Several techniques for spectral editing of 2D (13)C-(13)C correlation NMR of proteins are introduced. They greatly reduce the spectral overlap for five common amino acid types, thus simplifying spectral assignment and conformational analysis. The carboxyl (COO) signals of glutamate and aspartate are selected by suppressing the overlapping amide N-CO peaks through (13)C-(15)N dipolar dephasing. The sidechain methine (CH) signals of valine, lecuine, and isoleucine are separated from the overlapping methylene (CH(2)) signals of long-chain amino acids using a multiple-quantum dipolar transfer technique. Both the COO and CH selection methods take advantage of improved dipolar dephasing by asymmetric rotational-echo double resonance (REDOR), where every other π-pulse is shifted from the center of a rotor period t(r) by about 0.15 t(r). This asymmetry produces a deeper minimum in the REDOR dephasing curve and enables complete suppression of the undesired signals of immobile segments. Residual signals of mobile sidechains are positively identified by dynamics editing using recoupled (13)C-(1)H dipolar dephasing. In all three experiments, the signals of carbons within a three-bond distance from the selected carbons are detected in the second spectral dimension via (13)C spin exchange. The efficiencies of these spectral editing techniques range from 60 % for the COO and dynamic selection experiments to 25 % for the CH selection experiment, and are demonstrated on well-characterized model proteins GB1 and ubiquitin.

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Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 4%
United Kingdom 1 2%
United States 1 2%
Australia 1 2%
Unknown 41 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 33%
Researcher 14 30%
Professor 3 7%
Professor > Associate Professor 3 7%
Student > Master 3 7%
Other 1 2%
Unknown 7 15%
Readers by discipline Count As %
Chemistry 23 50%
Agricultural and Biological Sciences 4 9%
Biochemistry, Genetics and Molecular Biology 3 7%
Physics and Astronomy 3 7%
Environmental Science 1 2%
Other 2 4%
Unknown 10 22%