Evidence map›Paper›PMID 31718151›Full record

ArticleAnalytical chemistry2019

Accurate and Efficient Determination of Unknown Metabolites in Metabolomics by NMR-Based Molecular Motif Identification.

Cheng Wang, Bo Zhang, István Timári, Árpád Somogyi, Da-Wei Li, Haley E Adcox, John S Gunn, Lei Bruschweiler-Li, Rafael Brüschweiler

Abstract read
In one paragraph

Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. The perspective of artificial intelligence for NMR.Magnetic resonance letters · 2027
    Review
  2. Review
  3. Article
  4. Plant Metabolomics: The Future of Anticancer Drug Discovery.Pharmaceuticals (Basel, Switzerland) · 2024
    Review
  5. Review
  6. Best Practices in NMR Metabolomics: Current State.Trends in analytical chemistry : TRAC · 2024
    Article
  7. Article
  8. Multiplatform untargeted metabolomics.Magnetic resonance in chemistry : MRC · 2023
    Review
  9. Article
  10. Problems, principles and progress in computational annotation of NMR metabolomics data.Metabolomics : Official journal of the Metabolomic Society · 2022
    Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Software tools, databases and resources in metabolomics: updates from 2018 to 2019.Metabolomics : Official journal of the Metabolomic Society · 2020
    Review
  16. 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

9 authors.

Cheng Wang
Bo Zhang
István Timári
Árpád Somogyi
Da-Wei Li
Haley E Adcox
John S Gunn
Lei Bruschweiler-Li
Rafael BrüschweilerORCID 0000-0003-3649-4543

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
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
15 Tesla Bruker solariX FTICR MSS10OD018507 · OD · OHIO STATE UNIVERSITY · PI WYSOCKI, VICKI H. · 2014 to 2014
$2.0M
NCI NIH HHS P30 CA016058NIGMS NIH HHS R01 GM066041NIH HHS S10 OD018507
6 · The paper itself

Abstract

Knowledge of the chemical identity of metabolite molecules is critical for the understanding of the complex biological systems to which they belong. Since metabolite identities and their concentrations are often directly linked to the phenotype, such information can be used to map biochemical pathways and understand their role in health and disease. A very large number of metabolites however are still unknown; i.e., their spectroscopic signatures do not match those in existing databases, suggesting unknown molecule identification is both imperative and challenging. Although metabolites are structurally highly diverse, the majority shares a rather limited number of structural motifs, which are defined by sets of

Indexed as

MetabolomeAnimalsBileBiomarkersComplex MixturesDatabases, FactualEscherichia coliMagnetic Resonance SpectroscopyMiceBiomarkersComplex Mixtures

Identifiers

PMID31718151
PMCPMC6953984

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.