Evidence map›Paper›PMID 29742762›Full record

ArticlePlanta medica2018

Advantages of Molecular Weight Identification during Native MS Screening.

Ahad Khan, Anne Bresnick, Sean Cahill, Mark Girvin, Steve Almo, Ronald Quinn

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Planta medica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. 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 at 2 institutions in 2 countries.

Ahad KhanGriffith Institute for Drug Discovery, Griffith University, Brisbane, Australia.
Anne BresnickAlbert Einstein College of Medicine, Bronx, NY, USA.
Sean CahillAlbert Einstein College of Medicine, Bronx, NY, USA.
Mark GirvinAlbert Einstein College of Medicine, Bronx, NY, USA.
Steve AlmoAlbert Einstein College of Medicine, Bronx, NY, USA.
Ronald QuinnGriffith Institute for Drug Discovery, Griffith University, Brisbane, Australia.
Albert Einstein College of Medicine · USGriffith University · AU

Funding

The Role of PI3K Beta in Breast Cancer MetastasisR01GM119279 · NIGMS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI BACKER, JONATHAN M., BRESNICK, ANNE R · 2016 to 2019
$1.5M
Old Drugs and New Strategies for Tumor MetastasisR01CA129598 · NCI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI BRESNICK, ANNE R · 2008 to 2011
$989k
NCI NIH HHS R01 CA129598NIGMS NIH HHS R01 GM119279
6 · The paper itself

Abstract

Native mass spectrometry detection of ligand-protein complexes allowed rapid detection of natural product binders of apo and calcium-bound S100A4 (a member of the metal binding protein S100 family), T cell/transmembrane, immunoglobulin (Ig), and mucin protein 3, and T cell immunoreceptor with Ig and ITIM (immunoreceptor tyrosine-based inhibitory motif) domains precursor protein from extracts and fractions. Based on molecular weight common hits were detected binding to all four proteins. Seven common hits were identified as apigenin 6-

Indexed as

CalciumDrug Evaluation, PreclinicalFourier AnalysisHepatitis A Virus Cellular Receptor 2Magnetic Resonance SpectroscopyMolecular WeightPlant ExtractsReceptors, ImmunologicS100 Calcium-Binding Protein A4Spectrometry, Mass, Electrospray IonizationCalciumHavcr2 protein, mouseHepatitis A Virus Cellular Receptor 2Plant ExtractsReceptors, ImmunologicS100A4 protein, humanS100 Calcium-Binding Protein A4TIGIT protein, human

Identifiers

PMID29742762
PMCPMC6195442
OpenAlexW2802335253

What OpenQuestion holds

Textmetadata
LicenceTDM
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.