Evidence map›Paper›PMID 21499519›Full record

ArticleInternational journal of mass spectrometry2011

Top-Down Mass Spectrometry of Supercharged Native Protein-Ligand Complexes.

Sheng Yin, Joseph A Loo

Open access · greenAbstract read
In one paragraph

Article in International journal of mass spectrometry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
6.6field-weighted citation impact, top 2% 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

64 citing papers in PubMed, 125 citations in OpenAlex.

  1. Article
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  4. Free Radical-Based Sequencing for Native Top-Down Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2022
    Article
  5. Article
  6. Review
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  11. Review
  12. Native mass spectrometry of human carbonic anhydrase I and its inhibitor complexes.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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  19. Article
  20. Article

4 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

2 authors at 1 institution in 1 country.

Sheng YinDepartment of Chemistry and Biochemistry, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA 90095.
Joseph A Loo
University of California, Los Angeles · US

Funding

Mass Spectrometry of Protein AssembliesR01RR020004 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LOO, JOSEPH A · 2004 to 2011
$2.7M
High Resolution Hybrid FT-ICR Mass SpectrometerS10RR023045 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LOO, JOSEPH A · 2006 to 2006
$1.2M
NCRR NIH HHS R01 RR020004NCRR NIH HHS S10 RR023045
6 · The paper itself

Abstract

Tandem mass spectrometry (MS/MS) of intact, noncovalently-bound protein-ligand complexes can yield structural information on the site of ligand binding. Fourier transform ion cyclotron resonance (FT-ICR) top-down MS of the 29 kDa carbonic anhydrase-zinc complex and adenylate kinase bound to adenosine triphosphate (ATP) with collisionally activated dissociation (CAD) and/or electron capture dissociation (ECD) generates product ions that retain the ligand and their identities are consistent with the solution phase structure. Increasing gas phase protein charging from electrospray ionization (ESI) by the addition of supercharging reagents, such as m-nitrobenzyl alcohol and sulfolane, to the protein analyte solution improves the capability of MS/MS to generate holo-product ions. Top-down proteomics for protein sequencing can be enhanced by increasing analyte charging.

Identifiers

PMID21499519
PMCPMC3076692
OpenAlexW1988332348

What OpenQuestion holds

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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.