Evidence map›Paper›PMID 33079988›Full record

ArticleNucleic acids research2021

The Dark Kinase Knowledgebase: an online compendium of knowledge and experimental results of understudied kinases.

Matthew E Berginski, Nienke Moret, Changchang Liu, Dennis Goldfarb, Peter K Sorger, Shawn M Gomez

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed
13.1field-weighted citation impact, top 1% 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

72 citing papers in PubMed, 155 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. CLASPP: A unified model for predicting post-translational modifications.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
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  9. Review
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  14. Review
  15. Article
  16. PSKH1 kinase activity is differentially modulated via allosteric binding of CaProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Research towards selective inhibition of the CLK3 kinase.Beilstein journal of organic chemistry · 2025
    Article
  18. Review
  19. Article
  20. Article

12 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

6 authors at 3 institutions in 1 country.

Matthew E BerginskiDepartment of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Nienke MoretLaboratory of Systems Pharmacology, Department of Systems Biology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA 02115, USA.
Changchang LiuLaboratory of Systems Pharmacology, Department of Systems Biology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA 02115, USA.
Dennis GoldfarbDepartment of Cell Biology and Physiology, Washington University in St. Louis, St. Louis, MO 63110, USA.
Peter K SorgerLaboratory of Systems Pharmacology, Department of Systems Biology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA 02115, USA.
Shawn M GomezDepartment of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Harvard University · USUniversity of North Carolina at Chapel Hill · USWashington University in St. Louis · US

Funding

Illuminating Function of the Understudied Druggable KinomeU24DK116204 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JOHNSON, GARY L. · 2017 to 2022
$13.6M
NIDDK NIH HHS U24 DK116204
6 · The paper itself

Abstract

Kinases form the backbone of numerous cell signaling pathways, with their dysfunction similarly implicated in multiple pathologies. Further facilitated by their druggability, kinases are a major focus of therapeutic development efforts in diseases such as cancer, infectious disease and autoimmune disorders. While their importance is clear, the role or biological function of nearly one-third of kinases is largely unknown. Here, we describe a data resource, the Dark Kinase Knowledgebase (DKK; https://darkkinome.org), that is specifically focused on providing data and reagents for these understudied kinases to the broader research community. Supported through NIH's Illuminating the Druggable Genome (IDG) Program, the DKK is focused on data and knowledge generation for 162 poorly studied or 'dark' kinases. Types of data provided through the DKK include parallel reaction monitoring (PRM) peptides for quantitative proteomics, protein interactions, NanoBRET reagents, and kinase-specific compounds. Higher-level data is similarly being generated and consolidated such as tissue gene expression profiles and, longer-term, functional relationships derived through perturbation studies. Associated web tools that help investigators interrogate both internal and external data are also provided through the site. As an evolving resource, the DKK seeks to continually support and enhance knowledge on these potentially high-impact druggable targets.

Indexed as

InternetKnowledge BasesGene Expression Regulation, EnzymologicPhosphotransferasesPhosphotransferases

Identifiers

PMID33079988
PMCPMC7778917
OpenAlexW3094568106

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.