Evidence map›Paper›PMID 34650271›Full record

ArticleNature biotechnology2022

High-confidence structural annotation of metabolites absent from spectral libraries.

Martin A Hoffmann, Louis-Félix Nothias, Marcus Ludwig, Markus Fleischauer, Emily C Gentry, Michael Witting, Pieter C Dorrestein, Kai Dührkop, Sebastian Böcker

Abstract read
In one paragraph

Article in Nature biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 148 papers.

0numbers the graph read from it
0cells of the map it votes in
148citing 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

148 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The MassBank contributions of the mFam collaboration.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
  14. Article
  15. Discovery of pseudobaptigenin synthase in fungal-infected Trifolium pratense roots.The Plant journal : for cell and molecular biology · 2026
    Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Article

88 more citing papers are in PubMed but not listed here.

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.

Martin A Hoffmann *Chair for Bioinformatics, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena, Jena, Germany.ORCID http://orcid.org/0000-0002-3554-2710
Louis-Félix Nothias *Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San Diego, CA, USA.
Marcus Ludwig *Chair for Bioinformatics, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena, Jena, Germany.ORCID http://orcid.org/0000-0001-9981-2153
Markus FleischauerChair for Bioinformatics, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena, Jena, Germany.ORCID http://orcid.org/0000-0001-7557-0831
Emily C GentryCollaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San Diego, CA, USA.ORCID http://orcid.org/0000-0002-0016-8132
Michael WittingMetabolomics and Proteomics Core, Helmholtz Zentrum München, Neuherberg, Germany.ORCID http://orcid.org/0000-0002-1462-4426
Pieter C DorresteinCollaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San Diego, CA, USA.ORCID http://orcid.org/0000-0002-3003-1030
Kai DührkopChair for Bioinformatics, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena, Jena, Germany. kai.duehrkop@uni-jena.de.ORCID http://orcid.org/0000-0002-9056-0540
Sebastian BöckerChair for Bioinformatics, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena, Jena, Germany. sebastian.boecker@uni-jena.de.ORCID http://orcid.org/0000-0002-9304-8091

Funding

Project 4 - Mechanistic studies on the role of the gut microbiome in models for Alzheimer's diseaseU19AG063744 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Rima F Kaddurah-Daouk · 2019 to 2026
$54.1M
TrainingP41GM103484 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PEVZNER, PAVEL A · 2012 to 2018
$8.7M
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
Reuse of Public Metabolomics DataR03CA211211 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DORRESTEIN, PIETER C · 2016 to 2016
$155k
NCI NIH HHS R03 CA211211NIA NIH HHS U19 AG063744NIGMS NIH HHS P41 GM103484NIGMS NIH HHS R01 GM107550
6 · The paper itself

Abstract

Untargeted metabolomics experiments rely on spectral libraries for structure annotation, but, typically, only a small fraction of spectra can be matched. Previous in silico methods search in structure databases but cannot distinguish between correct and incorrect annotations. Here we introduce the COSMIC workflow that combines in silico structure database generation and annotation with a confidence score consisting of kernel density P value estimation and a support vector machine with enforced directionality of features. On diverse datasets, COSMIC annotates a substantial number of hits at low false discovery rates and outperforms spectral library search. To demonstrate that COSMIC can annotate structures never reported before, we annotated 12 natural bile acids. The annotation of nine structures was confirmed by manual evaluation and two structures using synthetic standards. In human samples, we annotated and manually validated 315 molecular structures currently absent from the Human Metabolome Database. Application of COSMIC to data from 17,400 metabolomics experiments led to 1,715 high-confidence structural annotations that were absent from spectral libraries.

Indexed as

MetabolomicsTandem Mass SpectrometryDatabases, FactualHumansMetabolomeMolecular Structure

Identifiers

PMID34650271
PMCPMC8926923

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.