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Record W4416018018 · doi:10.1101/2025.11.06.686927

Discovery and chemical biology of CDK8 inhibitors reveals insights for kinase inhibitor development

2025· preprint· W4416018018 on OpenAlexaff
Y.V. Le Bihan, Thomas Robert, Julien Duez, Susana Prieto, Jean-Luc Ferrer, Liliana Krasińska, Sandrine Ruchaud, Daniel Fisher

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Language
FieldMedicine
TopicAdvanced Breast Cancer Therapies
Canadian institutionsInstitute of Cancer Research
FundersInstitut National Du CancerNational Cancer InstituteLigue Contre le Cancer
KeywordsKinaseChemical biologyMediatorDrug discoveryCytotoxic T cellDNA damageProtein kinase ASignal transductionToxicity

Abstract

fetched live from OpenAlex

Abstract Protein kinase inhibitors are a key class of targeted cancer therapies, but finding compounds that show on-target efficacy with minimal toxicity remains challenging. CDK8 and CDK19 are paralogous kinases that regulate Mediator complex to promote transcriptional responses to extracellular signals and have also been reported to facilitate genome replication. Preclinical studies show that CDK8/19 inhibitors may have therapeutic benefit in several cancers, but whether effective inhibition of Mediator kinases is cytotoxic is debated. Here, we present a multi-modal approach for discovery of specific kinase inhibitors, and find that most CDK8/19 inhibitors show off-target toxicity and/or insufficient on-target engagement in cells. We describe several novel high affinity CDK8/19 inhibitors, report that loss of CDK8/19 activity is not cytotoxic but reduces cell proliferation without affecting DNA replication, and provide evidence that most inhibitors can bind in type I or type II modes. Our approach is applicable to any kinase inhibitor development program.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.251
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

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