Evidence map›Paper›PMID 24643376›Full record

ArticleCurrent genetics2014

Application of a peptide-based assay to characterize inhibitors targeting protein kinases from yeast.

Jenny Veide Vilg, Sita Dahal, Thomas Ljungdahl, Morten Grøtli, Markus J Tamás

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Article in Current genetics, 2014. 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
0.7field-weighted citation impact, top 30% 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, 6 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Jenny Veide VilgDepartment of Chemistry and Molecular Biology, University of Gothenburg, 405 30, Göteborg, Sweden.
Sita Dahal
Thomas Ljungdahl
Morten Grøtli
Markus J Tamás
University of Gothenburg · SEChalmers University of Technology · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemical molecules that inhibit protein kinase activity are important tools to assess the functions of protein kinases in living cells. To develop, test and characterize novel inhibitors, a convenient and reproducible kinase assay is of importance. Here, we applied a biotinylated peptide-based method to assess adenosine triphosphate-competitive inhibitors that target the yeast kinases Hog1, Elm1 and Elm1-as. The peptide substrates contained 13 amino acids, encompassing the consensus sequence surrounding the phosphorylation site. To test whether the lack of distal sites affects inhibitor efficacy, we compared the peptide-based assay with an assay using full-length protein as substrate. Similar inhibitor efficiencies were obtained irrespective of whether peptide or full-length protein was used as kinase substrates. Thus, we demonstrate that the peptide substrates used previously (Dinér et al. in PLoS One 6(5):e20012, 2011) give accurate results compared with protein substrates. We also show that the peptide-based method is suitable for selectivity assays and for inhibitor screening. The use of biotinylated peptide substrates provides a simple and reliable assay for protein kinase inhibitor characterization. The utility of this approach is discussed.

Indexed as

Dose-Response Relationship, DrugInhibitory Concentration 50Mitogen-Activated Protein KinasesPeptidesProtein Kinase InhibitorsProtein KinasesSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSmall Molecule LibrariesYeastsHOG1 protein, S cerevisiaeMitogen-Activated Protein KinasesPeptidesProtein Kinase InhibitorsProtein KinasesSaccharomyces cerevisiae ProteinsSmall Molecule Libraries

Identifiers

PMID24643376
OpenAlexW2032554524

What OpenQuestion holds

Textmetadata
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.