Evidence map›Paper›PMID 23016498›Full record

ArticleAnalytical chemistry2012

TOCCATA: a customized carbon total correlation spectroscopy NMR metabolomics database.

Kerem Bingol, Fengli Zhang, Lei Bruschweiler-Li, Rafael Brüschweiler

Abstract read
In one paragraph

Article in Analytical chemistry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Problems, principles and progress in computational annotation of NMR metabolomics data.Metabolomics : Official journal of the Metabolomic Society · 2022
    Review
  3. Article
  4. NMR-Based Approaches in the Study of Foods.Molecules (Basel, Switzerland) · 2022
    Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Frontiers in molecular biosciences · 2019
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. 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

4 authors.

Kerem BingolInstitute of Molecular Biophysics, Florida State University, Tallahassee, Florida 32306, United States.
Fengli Zhang
Lei Bruschweiler-Li
Rafael Brüschweiler

Funding

New hybrid methods for the improved and integrated analysis of complex metabolomics mixturesR01GM066041 · NIGMS · OHIO STATE UNIVERSITY · PI BRUSCHWEILER, RAFAEL · 2002 to 2019
$3.3M
NIGMS NIH HHS R01 GM 066041NIGMS NIH HHS R01 GM066041
6 · The paper itself

Abstract

A customized metabolomics NMR database, TOCCATA, is introduced, which uses (13)C chemical shift information for the reliable identification of metabolites, their spin systems, and isomeric states. TOCCATA, whose information was derived from the BMRB and HMDB databases and the literature, currently contains 463 compounds and 801 spin systems, and it can be used through a publicly accessible web server. TOCCATA allows the identification of metabolites in the submillimolar concentration range from (13)C-(13)C total correlation spectroscopy experiments of complex mixtures, which is demonstrated for an Escherichia coli cell lysate, a carbohydrate mixture, and an amino acid mixture, all of which were uniformly (13)C-labeled.

Indexed as

Databases, FactualCarbohydrate MetabolismCarbonEscherichia coliInternetMagnetic Resonance SpectroscopyMetabolomicsCarbon

Identifiers

PMID23016498
PMCPMC3783955

What OpenQuestion holds

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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.