Evidence map›Paper›PMID 11991353›Full record

ArticleJournal of biomolecular NMR2002

Towards high-resolution solid-state NMR on large uniformly 15N- and [13C,15N]-labeled membrane proteins in oriented lipid bilayers.

Thomas Vosegaard, Niels Chr Nielsen

Abstract read
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Article in Journal of biomolecular NMR, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Solution NMR of signal peptidase, a membrane protein.Biochimica et biophysica acta · 2008
    Article
  7. Article
  8. Article
  9. High-resolution NMR spectroscopy of a GPCR in aligned bicelles.Journal of the American Chemical Society · 2006
    Article
  10. Article
  11. Article
  12. Article
  13. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Thomas VosegaardDepartment of Molecular and Structural Biology, University of Aarhus, Denmark. tv@imsb.av.dk
Niels Chr Nielsen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on exact numerical simulations, taking into account isotropic and conformation-dependent anisotropic nuclear spin interactions, we systematically analyse the prospects for high-resolution solid-state NMR on large isotope-labeled membrane proteins macroscopically oriented in phospholipid bilayers. Using the known X-ray structures of rhodopsin and porin as models for large membrane proteins with typical alpha-helical and beta-barrel structural motifs, the analysis considers all possible one- to six-dimensional spectra comprised of frequency dimensions with evolution under any combination of amide 1H, amide 15N, and carbonyl 13C chemical shifts as well as 1H-15N dipole-dipole couplings. Under consideration of typical nuclear spin interaction and experimental line-shape parameters, the analysis provides new insight into the resolution capability and orientation-dependent transfer efficiency of existing experiments as well as guidelines as to improved experimental approaches for the study of large uniformly 15N- and [13C,15N]-labeled membrane proteins. On basis of these results and numerical optimizations of coherence-transfer efficiencies, we propose several new high-resolution experiments for sequential protein backbone assignment and structure determination.

Indexed as

Amino Acid MotifsAnimalsCarbon IsotopesLipid BilayersMembrane LipidsMembrane ProteinsModels, MolecularNitrogen IsotopesNuclear Magnetic Resonance, BiomolecularPhospholipidsPorinsProtein ConformationResearch DesignRhodopsinSensitivity and SpecificitySoftwareCarbon IsotopesLipid BilayersMembrane LipidsMembrane ProteinsNitrogen IsotopesPhospholipidsPorinsRhodopsin

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.