Opportunities for protein kinase drug discovery – 2025 update on the chemically underexplored human kinome

As a part of the Illuminating the Druggable Genome initiative, the U.S. National Institutes of Health (NIH), identified 162 understudied human protein and lipid kinases forming the “dark” kinome. In protein kinase (PK) drug discovery, the dark kinome has become a focal point in the search for new PK targets with interesting disease biology and lack of high-quality PK inhibitors (PKIs) for therapeutic intervention. Major criteria for the identification of dark kinases applied by the NIH included the lack of functional information and reagents for functional studies. We have previously introduced an alternative chemistry-centric assessment of understudied PKs that was based on a detailed analysis of the PKI coverage of the human kinome. This concept made it possible to differentiate between PKs based of their degree of chemical exploration. Given the continuing growth of PKI data in the public domain, we have repeated the analysis of chemically explored, underexplored, and unexplored PKs and updated the previous PK classification. As a part of our study, all PK and PKI data curated for our analysis are made publicly available together with the up-to-date chemical exploration-based PK classification and its comparison to the dark kinome. The curated data and kinome classification should be a useful resource for PK target prioritization and medicinal chemistry. Shown is a phylogenetic tree rendering of the human kinome. Chemically under- and unexplored protein kinases are represented as red and blue dots, respectively.

Authors

Institutions

Publication Details

Journal
European Journal of Medicinal Chemistry Reports
Published
2025-10-25
DOI
https://doi.org/10.1016/j.ejmcr.2025.100305
Citations
3
Primary Topic
Cancer-related Molecular Pathways
Type
article
Field-Weighted Citation Impact
3.14
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Opportunities for protein kinase drug discovery – 2025 update on the chemically underexplored human kinome

Jürgen Bajorath, Elena Kullmann, S. Koch
3 citations
European Journal of Medicinal Chemistry Reports
Cancer-related Molecular Pathways
3.14
article

Opportunities for protein kinase drug discovery – 2025 update on the chemically underexplored human kinome

Jürgen Bajorath, Elena Kullmann, S. Koch
article en
3 citations

Abstract

As a part of the Illuminating the Druggable Genome initiative, the U.S. National Institutes of Health (NIH), identified 162 understudied human protein and lipid kinases forming the “dark” kinome. In protein kinase (PK) drug discovery, the dark kinome has become a focal point in the search for new PK targets with interesting disease biology and lack of high-quality PK inhibitors (PKIs) for therapeutic intervention. Major criteria for the identification of dark kinases applied by the NIH included the lack of functional information and reagents for functional studies. We have previously introduced an alternative chemistry-centric assessment of understudied PKs that was based on a detailed analysis of the PKI coverage of the human kinome. This concept made it possible to differentiate between PKs based of their degree of chemical exploration. Given the continuing growth of PKI data in the public domain, we have repeated the analysis of chemically explored, underexplored, and unexplored PKs and updated the previous PK classification. As a part of our study, all PK and PKI data curated for our analysis are made publicly available together with the up-to-date chemical exploration-based PK classification and its comparison to the dark kinome. The curated data and kinome classification should be a useful resource for PK target prioritization and medicinal chemistry. Shown is a phylogenetic tree rendering of the human kinome. Chemically under- and unexplored protein kinases are represented as red and blue dots, respectively.

European Journal of Medicinal Chemistry ReportsVol. 15
University of Bonn (DE), Department of Physics, Mathematics and Informatics (BY)
Openalex Percentile: Top 7%
Cancer-related Molecular Pathways
3.14
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.