Evidence map›Paper›PMID 24789578›Full record

ArticleChemphyschem : a European journal of chemical physics and physical chemistry2014

Spatially selective heteronuclear multiple-quantum coherence spectroscopy for biomolecular NMR studies.

Bharathwaj Sathyamoorthy, David M Parish, Gaetano T Montelione, Rong Xiao, Thomas Szyperski

Open access · greenAbstract read
In one paragraph

Article in Chemphyschem : a European journal of chemical physics and physical chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.5field-weighted citation impact, top 10% of its field
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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. InNMR: DirectAnalytical chemistry · 2026
    Article
  2. Article
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 at 2 institutions in 1 country.

Bharathwaj SathyamoorthyDepartment of Chemistry, The State University of New York at Buffalo, Buffalo NY 14260 (USA); Present address: Department of Biophysics and Chemistry, University of Michigan, Ann Arbor, MI 48108 (USA).
David M Parish
Gaetano T Montelione
Rong Xiao
Thomas Szyperski
University at Buffalo, State University of New York · USRutgers, The State University of New Jersey · US

Funding

University of Georgia ProjectU54GM094597 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI MONTELIONE, GAETANO T · 2010 to 2014
$36.9M
NIGMS NIH HHS GM094597NIGMS NIH HHS U54 GM094597
6 · The paper itself

Abstract

Spatially selective heteronuclear multiple-quantum coherence (SS HMQC) NMR spectroscopy is developed for solution studies of proteins. Due to "time-staggered" acquisitioning of free induction decays (FIDs) in different slices, SS HMQC allows one to use long delays for longitudinal nuclear spin relaxation at high repetition rates. To also achieve high intrinsic sensitivity, SS HMQC is implemented by combining a single spatially selective (1)H excitation pulse with nonselective (1) H 180° pulses. High-quality spectra were obtained within 66 s for a 7.6 kDa uniformly (13) C,(15) N-labeled protein, and within 45 and 90 s for, respectively, two proteins with molecular weights of 7.5 and 43 kDa, which were uniformly (2)H,(13) C,(15) N-labeled, except for having protonated methyl groups of isoleucine, leucine and valine residues.

Indexed as

IsoleucineIsotopesLeucineMolecular WeightNuclear Magnetic Resonance, BiomolecularProteinsSolutionsValineIsoleucineIsotopesLeucineProteinsSolutionsValineflip-back pulsesHMQCrapid data acquisitionspatially selective NMRtime-staggered data acquisition

Identifiers

PMID24789578
PMCPMC4121990
OpenAlexW2135768930

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.