Evidence map›Paper›PMID 31600070›Full record

ArticleAnalytical chemistry2019

Hybrid Search: A Method for Identifying Metabolites Absent from Tandem Mass Spectrometry Libraries.

Brian T Cooper, Xinjian Yan, Yamil Simón-Manso, Dmitrii V Tchekhovskoi, Yuri A Mirokhin, Stephen E Stein

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 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Review
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  6. Multiple Spectrum Alignment for Molecular Networking Exploration and Discovery.Journal of the American Society for Mass Spectrometry · 2026
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  19. Data-Driven Compound Identification in Atmospheric Mass Spectrometry.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    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

6 authors.

Brian T CooperDepartment of Chemistry , University of North Carolina at Charlotte , Charlotte , North Carolina 28223 , United States.ORCID 0000-0002-3708-9657
Xinjian YanMass Spectrometry Data Center , National Institute of Standards and Technology , Gaithersburg , Maryland 20899 , United States.
Yamil Simón-MansoMass Spectrometry Data Center , National Institute of Standards and Technology , Gaithersburg , Maryland 20899 , United States.ORCID 0000-0002-5462-1748
Dmitrii V TchekhovskoiMass Spectrometry Data Center , National Institute of Standards and Technology , Gaithersburg , Maryland 20899 , United States.
Yuri A MirokhinMass Spectrometry Data Center , National Institute of Standards and Technology , Gaithersburg , Maryland 20899 , United States.
Stephen E SteinMass Spectrometry Data Center , National Institute of Standards and Technology , Gaithersburg , Maryland 20899 , United States.

Funding

Intramural NIST DOC 9999-NIST
6 · The paper itself

Abstract

Metabolomics has a critical need for better tools for mass spectral identification. Common metabolites may be identified by searching libraries of tandem mass spectra, which offers important advantages over other approaches to identification. But tandem libraries are not nearly complete enough to represent the full molecular diversity present in complex biological samples. We present a novel hybrid search method that can help identify metabolites not in the library by similarity to compounds that are. We call it "hybrid" searching because it combines conventional, direct peak matching with the logical equivalent of neutral-loss matching. A successful hybrid search requires the library to contain "cognates" of the unknown: similar compounds with a structural difference confined to a single region of the molecule, that does not substantially alter its fragmentation behavior. We demonstrate that the hybrid search is highly likely to find similar compounds under such circumstances.

Indexed as

Databases, FactualTandem Mass SpectrometryMetabolomicsPeptide FragmentsProteomicsPeptide Fragments

Identifiers

PMID31600070
PMCPMC7299168

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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.