Evidence map›Paper›PMID 33230292›Full record

ArticleNature biotechnology2021

Systematic classification of unknown metabolites using high-resolution fragmentation mass spectra.

Kai Dührkop, Louis-Félix Nothias, Markus Fleischauer, Raphael Reher, Marcus Ludwig, Martin A Hoffmann, Daniel Petras, William H Gerwick, Juho Rousu, Pieter C Dorrestein and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 392 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
392citing papers in PubMed, 1 pooled it
27.4field-weighted citation impact, top 1% of its field
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

392 citing papers in PubMed, 1 synthesis or guideline pooled it, 775 citations in OpenAlex.

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  19. Biosynthetic diversity and antifungal potential of soil-derivedApplied and environmental microbiology · 2026
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332 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

11 authors at 5 institutions in 3 countries.

Kai DührkopChair for Bioinformatics, Friedrich-Schiller University, Jena, Germany.ORCID http://orcid.org/0000-0002-9056-0540
Louis-Félix NothiasCollaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0001-6711-6719
Markus FleischauerChair for Bioinformatics, Friedrich-Schiller University, Jena, Germany.ORCID http://orcid.org/0000-0001-7557-0831
Raphael ReherCenter for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-5858-1173
Marcus LudwigChair for Bioinformatics, Friedrich-Schiller University, Jena, Germany.ORCID http://orcid.org/0000-0001-9981-2153
Martin A HoffmannChair for Bioinformatics, Friedrich-Schiller University, Jena, Germany.ORCID http://orcid.org/0000-0002-3554-2710
Daniel PetrasCollaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA.
William H GerwickCenter for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA, USA.
Juho RousuHelsinki Institute for Information Technology, Department of Computer Science, Aalto University, Espoo, Finland.ORCID http://orcid.org/0000-0002-0705-4314
Pieter C DorresteinCollaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA.
Sebastian BöckerChair for Bioinformatics, Friedrich-Schiller University, Jena, Germany. sebastian.boecker@uni-jena.de.ORCID http://orcid.org/0000-0002-9304-8091
Friedrich Schiller University Jena · DEScripps Institution of Oceanography · USUniversity of California San Diego · USHelsinki Institute for Information Technology · FIMax Planck Institute for Chemical Ecology · DE

Funding

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 CA211211NIGMS NIH HHS P41 GM103484NIGMS NIH HHS R01 GM107550
6 · The paper itself

Abstract

Metabolomics using nontargeted tandem mass spectrometry can detect thousands of molecules in a biological sample. However, structural molecule annotation is limited to structures present in libraries or databases, restricting analysis and interpretation of experimental data. Here we describe CANOPUS (class assignment and ontology prediction using mass spectrometry), a computational tool for systematic compound class annotation. CANOPUS uses a deep neural network to predict 2,497 compound classes from fragmentation spectra, including all biologically relevant classes. CANOPUS explicitly targets compounds for which neither spectral nor structural reference data are available and predicts classes lacking tandem mass spectrometry training data. In evaluation using reference data, CANOPUS reached very high prediction performance (average accuracy of 99.7% in cross-validation) and outperformed four baseline methods. We demonstrate the broad utility of CANOPUS by investigating the effect of microbial colonization in the mouse digestive system, through analysis of the chemodiversity of different Euphorbia plants and regarding the discovery of a marine natural product, revealing biological insights at the compound class level.

Indexed as

AnimalsAquatic OrganismsBiological ProductsChromatography, LiquidComputational BiologyEuphorbiaGastrointestinal MicrobiomeMetabolomicsMiceNeural Networks, ComputerTandem Mass SpectrometryBiological Products

Identifiers

PMID33230292
OpenAlexW3108604517

What OpenQuestion holds

Textmetadata
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.