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HN-NCA heteronuclear TOCSY-NH experiment for 1HN and 15N sequential correlations in (13C, 15N) labelled intrinsically disordered proteins

Overview of attention for article published in Journal of Biomolecular NMR, August 2015
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Title
HN-NCA heteronuclear TOCSY-NH experiment for 1HN and 15N sequential correlations in (13C, 15N) labelled intrinsically disordered proteins
Published in
Journal of Biomolecular NMR, August 2015
DOI 10.1007/s10858-015-9976-x
Pubmed ID
Authors

Christoph Wiedemann, Nishit Goradia, Sabine Häfner, Christian Herbst, Matthias Görlach, Oliver Ohlenschläger, Ramadurai Ramachandran

Abstract

A simple triple resonance NMR experiment that leads to the correlation of the backbone amide resonances of each amino acid residue 'i' with that of residues 'i-1' and 'i+1' in ((13)C, (15)N) labelled intrinsically disordered proteins (IDPs) is presented. The experimental scheme, {HN-NCA heteronuclear TOCSY-NH}, exploits the favourable relaxation properties of IDPs and the presence of (1) J CαN and (2) J CαN couplings to transfer the (15)N x magnetisation from amino acid residue 'i' to adjacent residues via the application of a band-selective (15)N-(13)C(α) heteronuclear cross-polarisation sequence of ~100 ms duration. Employing non-uniform sampling in the indirect dimensions, the efficacy of the approach has been demonstrated by the acquisition of 3D HNN chemical shift correlation spectra of α-synuclein. The experimental performance of the RF pulse sequence has been compared with that of the conventional INEPT-based HN(CA)NH pulse scheme. As the availability of data from both the HCCNH and HNN experiments will make it possible to use the information extracted from one experiment to simplify the analysis of the data of the other and lead to a robust approach for unambiguous backbone and side-chain resonance assignments, a time-saving strategy for the simultaneous collection of HCCNH and HNN data is also described.

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Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 35%
Professor 3 15%
Student > Ph. D. Student 3 15%
Professor > Associate Professor 2 10%
Student > Master 2 10%
Other 1 5%
Unknown 2 10%
Readers by discipline Count As %
Chemistry 8 40%
Biochemistry, Genetics and Molecular Biology 5 25%
Agricultural and Biological Sciences 2 10%
Materials Science 1 5%
Unknown 4 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 August 2015.
All research outputs
#18,423,683
of 22,824,164 outputs
Outputs from Journal of Biomolecular NMR
#461
of 614 outputs
Outputs of similar age
#191,823
of 266,186 outputs
Outputs of similar age from Journal of Biomolecular NMR
#7
of 12 outputs
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