Evidence map›Paper›PMID 31600991›Full record

ArticleMetabolites2019

In Silico Optimization of Mass Spectrometry Fragmentation Strategies in Metabolomics.

Joe Wandy, Vinny Davies, Justin J J van der Hooft, Stefan Weidt, Rónán Daly, Simon Rogers

Abstract read
In one paragraph

Article in Metabolites, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Advances in Mass Spectrometry-Metabolomics Based Approaches.Advances in experimental medicine and biology · 2023
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Software tools, databases and resources in metabolomics: updates from 2018 to 2019.Metabolomics : Official journal of the Metabolomic Society · 2020
    Review
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.

Joe WandyGlasgow Polyomics, University of Glasgow, Glasgow G61 1BD, UK. joe.wandy@glasgow.ac.uk.
Vinny DaviesSchool of Computing Science, University of Glasgow, Glasgow G12 8RZ, UK. vinny.davies@glasgow.ac.uk.ORCID 0000-0003-1896-8936
Justin J J van der HooftBioinformatics Group, Department of Plant Sciences, Wageningen University, 6780 PB Wageningen, The Netherlands. justin.vanderhooft@wur.nl.ORCID 0000-0002-9340-5511
Stefan WeidtGlasgow Polyomics, University of Glasgow, Glasgow G61 1BD, UK. stefan.weidt@glasgow.ac.uk.ORCID 0000-0003-1127-9214
Rónán DalyGlasgow Polyomics, University of Glasgow, Glasgow G61 1BD, UK. ronan.daly@glasgow.ac.uk.
Simon RogersSchool of Computing Science, University of Glasgow, Glasgow G12 8RZ, UK. Simon.Rogers@Glasgow.ac.uk.ORCID 0000-0003-3578-4477

Funding

Engineering and Physical Sciences Research Council EP/R018634/1
6 · The paper itself

Abstract

Liquid chromatography (LC) coupled to tandem mass spectrometry (MS/MS) is widely used in identifying small molecules in untargeted metabolomics. Various strategies exist to acquire MS/MS fragmentation spectra; however, the development of new acquisition strategies is hampered by the lack of simulators that let researchers prototype, compare, and optimize strategies before validations on real machines. We introduce Virtual Metabolomics Mass Spectrometer (ViMMS), a metabolomics LC-MS/MS simulator framework that allows for scan-level control of the MS2 acquisition process in silico. ViMMS can generate new LC-MS/MS data based on empirical data or virtually re-run a previous LC-MS/MS analysis using pre-existing data to allow the testing of different fragmentation strategies. To demonstrate its utility, we show how ViMMS can be used to optimize

Indexed as

data-dependent acquisition (DDA)fragmentation (MS/MS)in silicoliquid chromatography–mass spectrometry (LC/MS)simulator

Identifiers

PMID31600991
PMCPMC6836109

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.