Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

DKK

General information

URL: https://darkkinome.org
Full name: Dark Kinase Knowledgebase
Description: The goal of the DKK is to generate, systematize and disseminate knowledge about dark kinases, biological networks in which they function and connections to cellular phenotypes and human disease.
Year founded: 2021
Last update:
Version: 1.0
Accessibility:
Accessible
Country/Region: United States

Classification & Tag

Data type:
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: University of North Carolina at Chapel Hill
Address:
City: Chapel Hill
Province/State:
Country/Region: United States
Contact name (PI/Team): Shawn M. Gomez
Contact email (PI/Helpdesk): smgomez@unc.edu

Publications

33079988
The Dark Kinase Knowledgebase: an online compendium of knowledge and experimental results of understudied kinases. [PMID: 33079988]
Berginski ME, Moret N, Liu C, Goldfarb D, Sorger PK, Gomez SM.

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.

Nucleic Acids Res. 2021:49(D1) | 115 Citations (from Europe PMC, 2026-08-29)

Ranking

All databases:
757/7269 (89.6%)
Phylogeny and homology:
38/328 (88.72%)
Expression:
139/1466 (90.587%)
Interaction:
143/1315 (89.202%)
Health and medicine:
197/1919 (89.786%)
757
Total Rank
111
Citations
22.2
z-index

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Record metadata

Created on: 2020-11-09
Curated by:
Dong Zou [2020-12-08]
Xiaonan Liu [2020-11-26]
Xiaonan Liu [2020-11-25]
Chang Liu [2020-11-09]