Evidence map›Paper›PMID 23845095›Full record

ArticleAnalytical chemistry2013

Activation state-selective kinase inhibitor assay based on ion mobility-mass spectrometry.

Jessica N Rabuck, Suk-Joon Hyung, Kristin S Ko, Christel C Fox, Matthew B Soellner, Brandon T Ruotolo

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2013. 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
3.6field-weighted citation impact, top 7% 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

23 citing papers in PubMed, 73 citations in OpenAlex.

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  20. A Label-free Sirtuin 1 Assay based on Droplet-Electrospray Ionization Mass Spectrometry.Analytical methods : advancing methods and applications · 2016
    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 1 institution in 1 country.

Jessica N RabuckDepartment of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States.
Suk-Joon Hyung
Kristin S Ko
Christel C Fox
Matthew B Soellner
Brandon T Ruotolo
University of Michigan–Ann Arbor · US

Funding

Methodology for Identification of Substrate-Competitive Kinase InhibitorsR01GM088546 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SOELLNER, MATTHEW B · 2009 to 2012
$1.4M
NIGMS NIH HHS R01 GM088546NIGMS NIH HHS R01GM088546
6 · The paper itself

Abstract

The discovery of activation state dependent kinase inhibitors, which bind specifically to the inactive conformation of the protein, is considered to be a promising pathway to improved cancer treatments. Identifying such inhibitors is challenging, however, because they can have Kd values similar to molecules known to inhibit kinase function by interacting with the active form. Further, while inhibitor induced changes within the kinase tertiary structure are significant, few technologies are able to correctly assign inhibitor binding modes in a high-throughput fashion based exclusively on protein-inhibitor complex formation and changes in local protein structure. We have developed a new assay, using ion mobility-mass spectrometry, capable of both rapidly detecting inhibitor binding and classifying the resultant kinase binding modes. Here, we demonstrate the ability of our approach to classify a broad set of kinase inhibitors, using micrograms of protein, without the need for protein modification or tagging.

Indexed as

Mass SpectrometryDrug DiscoveryEnzyme ActivationModels, MolecularProtein Kinase InhibitorsProtein Structure, TertiaryProtein UnfoldingProto-Oncogene Proteins c-ablProtein Kinase InhibitorsProto-Oncogene Proteins c-abl

Identifiers

PMID23845095
PMCPMC3784979
OpenAlexW1984951342

What OpenQuestion holds

Textmetadata
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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.