Evidence map›Paper›PMID 35282867›Full record

ReviewProgress in nuclear magnetic resonance spectroscopy2022

NMR methods for exploring 'dark' states in ligand binding and protein-protein interactions.

Vitali Tugarinov, Alberto Ceccon, G Marius Clore

Abstract readReview
In one paragraph

Review in Progress in nuclear magnetic resonance spectroscopy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  12. Site-based description of RJournal of magnetic resonance (San Diego, Calif. : 1997) · 2023
    Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. The utility of small nutation angleProgress in nuclear magnetic resonance spectroscopy
    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

3 authors.

Vitali TugarinovLaboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892-0520, United States. Electronic address: vitali.tugarinov@nih.gov.
Alberto CecconLaboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892-0520, United States.
G Marius CloreLaboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892-0520, United States. Electronic address: mariusc@mail.nih.gov.

Funding

Structure and Dynamics Of Macromolecules In Solution By NMRZIADK029023 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI CLORE, GIDEON · 2009 to 2025
$41.5M
NMR STUDIES OF THREE-DIMENSIONAL STRUCTURE OF MACROMOLECULES IN SOLUTIONZ01DK029023 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI CLORE, G. MARIUS · 1988 to 2008
$949k
Intramural NIH HHS Z01 DK029023Intramural NIH HHS ZIA DK029023
6 · The paper itself

Abstract

A survey, primarily based on work in the authors' laboratory during the last 10 years, is provided of recent developments in NMR studies of exchange processes involving protein-ligand and protein-protein interactions. We start with a brief overview of the theoretical background of Dark state Exchange Saturation Transfer (DEST) and lifetime line-broadening (ΔR

Indexed as

Magnetic Resonance ImagingProteinsKineticsLigandsMagnetic Resonance SpectroscopyNuclear Magnetic Resonance, BiomolecularLigandsProteinsDark state exchange saturation transfer (DEST)Exchange-induced chemical shiftsFast component of relaxation decayLifetime line-broadeningRelaxation dispersion

Identifiers

PMID35282867
PMCPMC8921508

What OpenQuestion holds

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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.