Evidence map›Paper›PMID 31392700›Full record

ArticleJournal of the American Society for Mass Spectrometry2019

Eliminating Artifacts in Electrospray Deconvolution with a SoftMax Function.

Michael T Marty

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 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. Shelterin is a dimeric complex with extensive structural heterogeneity.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  4. Review
  5. Review
  6. Allosteric differences dictate GroEL complementation of E. coli.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2022
    Article
  7. Deconvolving Native and Intact Protein Mass Spectra with UniDec.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  8. Article
  9. Native Mass Spectrometry of Iron-Sulfur Proteins.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  10. Nanodiscs and Mass Spectrometry: Making Membranes Fly.International journal of mass spectrometry · 2020
    Article
  11. Research and Verification of Convolutional Neural Network Lightweight in BCI.Computational and mathematical methods in medicine · 2020
    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

1 author.

Michael T MartyDepartment of Chemistry and Biochemistry, University of Arizona, 1306 E University Blvd, Tucson, AZ, 85721, USA. mtmarty@email.arizona.edu.ORCID http://orcid.org/0000-0001-8115-1772

Funding

Unravelling Membrane Protein-Lipid Interactions using Nanodiscs and Mass SpectrometryR35GM128624 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI Michael T Marty · 2018 to 2026
$3.6M
American Society for Mass Spectrometry Research AwardDivision of Chemistry CHE-1845230NIGMS NIH HHS R35 GM128624Science Foundation Arizona Bisgrove Scholar Award
6 · The paper itself

Abstract

UniDec provides a rapid and robust approach to deconvolving electrospray mass spectra into their corresponding mass and charge components. However, the UniDec algorithm can produce artifacts depending on the quality and complexity of the data. Here, a SoftMax function is applied to the charge state distribution of each data point, which pushes the algorithm towards assigning each data point to one primary charge state. As shown for several data sets of increasing complexity, the SoftMax function significantly reduces deconvolution artifacts, even for data with overlapping charge states.

Indexed as

DeconvolutionElectrosprayIntact massMass spectrometryNative MS

Identifiers

PMID31392700
PMCPMC6812623

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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.