Evidence map›Paper›PMID 38871714›Full record

ArticleNature communications2024

Solution-state methyl NMR spectroscopy of large non-deuterated proteins enabled by deep neural networks.

Gogulan Karunanithy, Vaibhav Kumar Shukla, D Flemming Hansen

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. The perspective of artificial intelligence for NMR.Magnetic resonance letters · 2027
    Review
  2. Article
  3. Deep Learning Assisted Proton Pure Shift NMR Spectroscopy.Journal of the American Chemical Society · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. AI protocol for retrieving protein dynamic structures from two-dimensional infrared spectra.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Article
  10. Neural net analysis of NMR spectra from strongly-coupled spin systems.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2024
    Article
  11. Article
  12. 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

3 authors.

Gogulan KarunanithyDepartment of Structural and Molecular Biology, Division of Biosciences, University College London, London, WC1E 6BT, UK.ORCID http://orcid.org/0000-0002-8072-5911
Vaibhav Kumar ShuklaDepartment of Structural and Molecular Biology, Division of Biosciences, University College London, London, WC1E 6BT, UK.ORCID http://orcid.org/0000-0001-5342-258X
D Flemming HansenDepartment of Structural and Molecular Biology, Division of Biosciences, University College London, London, WC1E 6BT, UK. d.hansen@ucl.ac.uk.ORCID http://orcid.org/0000-0003-0891-220X

Funding

TRD3 NMRbox: Bayesian AnalyticsP41GM111135 · NIGMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI HOCH, JEFFREY C · 2015 to 2024
$14.0M
NIGMS NIH HHS P41 GM111135RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/R000255/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/X036782/1Wellcome Trust FC001029Wellcome Trust (Wellcome) 101569/z/13/z
6 · The paper itself

Abstract

Methyl-TROSY nuclear magnetic resonance (NMR) spectroscopy is a powerful technique for characterising large biomolecules in solution. However, preparing samples for these experiments is demanding and entails deuteration, limiting its use. Here we demonstrate that NMR spectra recorded on protonated, uniformly

Indexed as

Escherichia coliCarbon IsotopesDeep LearningEscherichia coli ProteinsMagnetic Resonance SpectroscopyMalate SynthaseNeural Networks, ComputerNuclear Magnetic Resonance, BiomolecularProteinsCarbon IsotopesEscherichia coli ProteinsMalate SynthaseProteins

Identifiers

PMID38871714
PMCPMC11176362

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.