Evidence map›Paper›PMID 37904048›Full record

ArticleNature chemical biology2024

Chemical proteomics reveals the target landscape of 1,000 kinase inhibitors.

Maria Reinecke, Paul Brear, Larsen Vornholz, Benedict-Tilmann Berger, Florian Seefried, Stephanie Wilhelm, Patroklos Samaras, Laszlo Gyenis, David William Litchfield, Guillaume Médard and 5 more

Abstract read
In one paragraph

Article in Nature chemical biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Proteomic approaches for interrogating kinase signaling networks.The Journal of investigative dermatology · 2026
    Article
  10. Review
  11. Curated set of tool compounds to probe PYK2 and FAK signaling in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Regulation of RNA-binding proteins by small biomolecules.Nature reviews. Molecular cell biology · 2026
    Review
  16. Cellular Context Influences Kinase Inhibitor Selectivity.Journal of medicinal chemistry · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. 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

15 authors.

Maria ReineckeChair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.
Paul BrearDepartment of Biochemistry, University of Cambridge, Cambridge, UK.ORCID 0000-0002-4045-0474
Larsen VornholzInstitute of Clinical Chemistry and Pathobiochemistry, School of Medicine, Technical University of Munich, Munich, Germany.ORCID 0000-0002-8054-5603
Benedict-Tilmann BergerStructural Genomics Consortium, Buchmann Institute for Life Sciences, Goethe University Frankfurt, Frankfurt, Germany.ORCID 0000-0002-3314-2617
Florian SeefriedChair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.
Stephanie WilhelmChair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.ORCID 0000-0002-1066-6565
Patroklos SamarasChair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.ORCID 0000-0001-6042-1585
Laszlo GyenisDepartment of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
David William LitchfieldDepartment of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.ORCID 0000-0002-2425-6620
Guillaume MédardChair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.ORCID 0000-0002-4782-4029
Susanne MüllerStructural Genomics Consortium, Buchmann Institute for Life Sciences, Goethe University Frankfurt, Frankfurt, Germany.ORCID 0000-0003-2402-4157
Jürgen RulandGerman Cancer Consortium (DKTK), partner site Munich and German Cancer Research Center (DKFZ), Heidelberg, Germany.
Marko HyvönenDepartment of Biochemistry, University of Cambridge, Cambridge, UK.ORCID 0000-0001-8683-4070
Mathias WilhelmChair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.ORCID 0000-0002-9224-3258
Bernhard KusterChair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany. kuster@tum.de.ORCID 0000-0002-9094-1677

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 031L0168Deutsche Forschungsgemeinschaft (German Research Foundation) 360372040EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 834154
6 · The paper itself

Abstract

Medicinal chemistry has discovered thousands of potent protein and lipid kinase inhibitors. These may be developed into therapeutic drugs or chemical probes to study kinase biology. Because of polypharmacology, a large part of the human kinome currently lacks selective chemical probes. To discover such probes, we profiled 1,183 compounds from drug discovery projects in lysates of cancer cell lines using Kinobeads. The resulting 500,000 compound-target interactions are available in ProteomicsDB and we exemplify how this molecular resource may be used. For instance, the data revealed several hundred reasonably selective compounds for 72 kinases. Cellular assays validated GSK986310C as a candidate SYK (spleen tyrosine kinase) probe and X-ray crystallography uncovered the structural basis for the observed selectivity of the CK2 inhibitor GW869516X. Compounds targeting PKN3 were discovered and phosphoproteomics identified substrates that indicate target engagement in cells. We anticipate that this molecular resource will aid research in drug discovery and chemical biology.

Indexed as

Protein Kinase InhibitorsProteomicsCell Line, TumorCrystallography, X-RayDrug DiscoveryHumansModels, MolecularProtein Kinase Inhibitors

Identifiers

PMID37904048
PMCPMC11062922

What OpenQuestion holds

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LicenceCC BY
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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.