Evidence map›Paper›PMID 36595469›Full record

ArticleAnalytical chemistry2023

Unknown Metabolite Identification Using Machine Learning Collision Cross-Section Prediction and Tandem Mass Spectrometry.

Carter K Asef, Markace A Rainey, Brianna M Garcia, Goncalo J Gouveia, Amanda O Shaver, Franklin E Leach, Alison M Morse, Arthur S Edison, Lauren M McIntyre, Facundo M Fernández

Abstract read
In one paragraph

Article in Analytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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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

10 authors.

Carter K AsefSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia30332, United States.ORCID 0000-0002-5020-0583
Markace A RaineySchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia30332, United States.
Brianna M GarciaComplex Carbohydrate Research Center, University of Georgia, Athens, Georgia30602, United States.ORCID 0000-0003-2073-8144
Goncalo J GouveiaComplex Carbohydrate Research Center, University of Georgia, Athens, Georgia30602, United States.ORCID 0000-0002-3022-7332
Amanda O ShaverComplex Carbohydrate Research Center, University of Georgia, Athens, Georgia30602, United States.
Franklin E LeachComplex Carbohydrate Research Center, University of Georgia, Athens, Georgia30602, United States.ORCID 0000-0002-3292-1096
Alison M MorseDepartment of Molecular Genetics and Microbiology, University of Florida, Gainesville, Florida32611, United States.
Arthur S EdisonComplex Carbohydrate Research Center, University of Georgia, Athens, Georgia30602, United States.ORCID 0000-0002-5686-2350
Lauren M McIntyreDepartment of Molecular Genetics and Microbiology, University of Florida, Gainesville, Florida32611, United States.
Facundo M FernándezSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia30332, United States.ORCID 0000-0002-0302-2534

Funding

Deep Ovarian Cancer MetabolomicsR01CA218664 · NCI · GEORGIA INSTITUTE OF TECHNOLOGY · PI Facundo Martin Fernandez, Jaeyeon Kim · 2018 to 2026
$4.3M
Portal for Open Computational Metabolomics Tools - Yr 4 U2C SupplementU2CES030167 · NIEHS · UNIVERSITY OF GEORGIA · PI EDISON, ARTHUR S · 2018 to 2021
$4.2M
NCI NIH HHS R01 CA218664NIEHS NIH HHS U2C ES030167
6 · The paper itself

Abstract

Ion mobility (IM) spectrometry provides semiorthogonal data to mass spectrometry (MS), showing promise for identifying unknown metabolites in complex non-targeted metabolomics data sets. While current literature has showcased IM-MS for identifying unknowns under near ideal circumstances, less work has been conducted to evaluate the performance of this approach in metabolomics studies involving highly complex samples with difficult matrices. Here, we present a workflow incorporating

Indexed as

MetabolomicsTandem Mass SpectrometryIon Mobility SpectrometryMachine Learning

Identifiers

PMID36595469
PMCPMC10440795

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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.