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Fractional deuteration applied to biomolecular solid-state NMR spectroscopy

Overview of attention for article published in Journal of Biomolecular NMR, November 2011
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Title
Fractional deuteration applied to biomolecular solid-state NMR spectroscopy
Published in
Journal of Biomolecular NMR, November 2011
DOI 10.1007/s10858-011-9585-2
Pubmed ID
Authors

Deepak Nand, Abhishek Cukkemane, Stefan Becker, Marc Baldus

Abstract

Solid-state Nuclear Magnetic Resonance can provide detailed insight into structural and dynamical aspects of complex biomolecules. With increasing molecular size, advanced approaches for spectral simplification and the detection of medium to long-range contacts become of critical relevance. We have analyzed the protonation pattern of a membrane-embedded ion channel that was obtained from bacterial expression using protonated precursors and D(2)O medium. We find an overall reduction of 50% in protein protonation. High levels of deuteration at H(α) and H(β) positions reduce spectral congestion in ((1)H,(13)C,(15)N) correlation experiments and generate a transfer profile in longitudinal mixing schemes that can be tuned to specific resonance frequencies. At the same time, residual protons are predominantly found at amino-acid side-chain positions enhancing the prospects for obtaining side-chain resonance assignments and for detecting medium to long-range contacts. Fractional deuteration thus provides a powerful means to aid the structural analysis of complex biomolecules by solid-state NMR.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
France 1 2%
Canada 1 2%
Unknown 46 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Researcher 11 22%
Professor > Associate Professor 7 14%
Student > Master 5 10%
Student > Bachelor 2 4%
Other 6 12%
Unknown 7 14%
Readers by discipline Count As %
Chemistry 21 43%
Biochemistry, Genetics and Molecular Biology 9 18%
Agricultural and Biological Sciences 6 12%
Physics and Astronomy 2 4%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 9 18%