Evidence map›Paper›PMID 27878649›Full record

ArticleJournal of biomolecular NMR2016

Paolo Rossi, Youlin Xia, Nandish Khanra, Gianluigi Veglia, Charalampos G Kalodimos

Abstract read
In one paragraph

Article in Journal of biomolecular NMR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Article
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  4. CaNature cell biology · 2025
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  7. Solution mapping of MHC-I:TCR interactions using a minimalistic protein system.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
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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

5 authors.

Paolo RossiDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, 55455, USA. rossip@umn.edu.ORCID 0000-0002-6041-0664
Youlin XiaDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, 55455, USA.
Nandish KhanraDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, 55455, USA.
Gianluigi VegliaDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, 55455, USA. vegli001@umn.edu.
Charalampos G KalodimosDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, 55455, USA. ckalodim@umn.edu.

Funding

Structural insight into novel mechanisms of type III secretionR01AI094623 · NIAID · UNIVERSITY OF MINNESOTA · PI KALODIMOS, CHARALAMPOS · 2012 to 2023
$4.0M
Allosteric and Transport Mechanisms in TonB-dependent TransportersR01AI121858 · NIAID · UNIVERSITY OF MINNESOTA · PI KALODIMOS, CHARALAMPOS · 2016 to 2020
$2.1M
Structural insight into novel mechanisms of type III secretionR56AI094623 · NIAID · RUTGERS, THE STATE UNIV OF N.J. · PI KALODIMOS, CHARALAMPOS · 2011 to 2011
$366k
NIAID NIH HHS R01 AI094623NIAID NIH HHS R01 AI121858NIAID NIH HHS R56 AI094623
6 · The paper itself

Abstract

The ongoing NMR method development effort strives for high quality multidimensional data with reduced collection time. Here, we apply 'SOFAST-HMQC' to frequency editing in 3D NOESY experiments and demonstrate the sensitivity benefits using highly deuterated and

Indexed as

Isotope LabelingMagnetic Resonance SpectroscopyNuclear Magnetic Resonance, BiomolecularAlgorithmsDeuteriumModels, TheoreticalNitrogen IsotopesProteinsProtonsDeuteriumNitrogen IsotopesProteinsProtonsFast pulsing data collectionLiquid state NMRNOESYSOFASTSOFAST–NOESY

Identifiers

PMID27878649
PMCPMC5218894

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.