Evidence map›Paper›PMID 40954295›Full record

ArticleNature methods2025

MS

Corinna Brungs, Robin Schmid, Steffen Heuckeroth, Aninda Mazumdar, Matúš Drexler, Pavel Šácha, Pieter C Dorrestein, Daniel Petras, Louis-Felix Nothias, Václav Veverka and 3 more

Abstract read
In one paragraph

Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The MassBank contributions of the mFam collaboration.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Mapping the mammalian dark metabolome bybioRxiv : the preprint server for biology · 2026
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

13 authors.

Corinna Brungs *Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Prague, Czechia.ORCID http://orcid.org/0000-0002-2571-5235
Robin Schmid *Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Prague, Czechia. rschmid1789@gmail.com.ORCID http://orcid.org/0000-0003-0922-3887
Steffen HeuckerothInstitute of Inorganic and Analytical Chemistry, University of Münster, Münster, Germany.ORCID http://orcid.org/0000-0002-4928-2526
Aninda MazumdarInstitute of Microbiology of the Czech Academy of Sciences, Prague, Czechia.ORCID http://orcid.org/0000-0002-4985-7115
Matúš DrexlerInstitute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Prague, Czechia.
Pavel ŠáchaInstitute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Prague, Czechia.ORCID http://orcid.org/0000-0001-6198-9826
Pieter C DorresteinSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA.ORCID http://orcid.org/0000-0002-3003-1030
Daniel PetrasDepartment of Biochemistry, University of California Riverside, Riverside, CA, USA.
Louis-Felix NothiasUniversité Côte d'Azur, CNRS, ICN, Nice, France.
Václav VeverkaInstitute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Prague, Czechia.
Radim NenckaInstitute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Prague, Czechia.
Zdeněk KameníkInstitute of Microbiology of the Czech Academy of Sciences, Prague, Czechia.ORCID http://orcid.org/0000-0002-5363-0597
Tomáš PluskalInstitute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Prague, Czechia. tomas.pluskal@uochb.cas.cz.ORCID http://orcid.org/0000-0002-6940-3006

Funding

Unified Computation Tools for Natural Products ResearchR01GM107550 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI COTTRELL, GARRISON W, GERWICK, WILLIAM HENRY · 2013 to 2025
$8.2M
Reverse Metabolomics for the Discovery of Disease Associated Microbial MoleculesR01DK136117 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PIETER C DORRESTEIN · 2023 to 2026
$2.9M
EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Marie Sklodowska-Curie Actions (H2020 Excellent Science - Marie Sklodowska-Curie Actions) 891397NIDDK NIH HHS R01 DK136117NIGMS NIH HHS R01 GM107550
6 · The paper itself

Abstract

Untargeted high-resolution mass spectrometry is a key tool in clinical metabolomics, natural product discovery and exposomics, with compound identification remaining the major bottleneck. Currently, the standard workflow applies spectral library matching against tandem mass spectrometry (MS

Indexed as

Mass SpectrometryMetabolomicsSmall Molecule LibrariesSoftwareTandem Mass SpectrometryMachine LearningSmall Molecule Libraries

Identifiers

PMID40954295
PMCPMC12510872

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.