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Record W4414303775 · doi:10.1101/2025.09.10.675406

Development of a chemical probe to enable characterization of the casein kinase 1γ subfamily

2025· preprint· en· W4414303775 on OpenAlexafffund
Jacob L. Capener, Thomas Krämer, Frances M. Bashore, E Flory, F. Li, Blair L. Strang, Alison D. Axtman

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicPhytase and its Applications
Canadian institutionsStructural Genomics ConsortiumUniversity of Toronto
FundersSt. George's, University of LondonGenentechUNC Eshelman School of Pharmacy, University of North Carolina at Chapel HillOntario Genomics InstituteEuropean Federation of Pharmaceutical Industries and AssociationsMerck KGaANational Institutes of HealthOntario GenomicsGenome CanadaFundação de Amparo à Pesquisa do Estado de São PauloMcGill UniversityNorth Carolina Biotechnology CenterPharmaceutical Research and Manufacturers of America FoundationBayerPfizer
KeywordsSubfamilyKinaseCasein kinase 1Wnt signaling pathwaySignal transductionProtein kinase ACasein kinase 2

Abstract

fetched live from OpenAlex

The casein kinase 1γ (CK1γ) subfamily, while severely understudied, is implicated in diverse disease-relevant pathways, including WNT signaling and human cytomegalovirus (HCMV) replication. While genetic tools exist to study CK1γ, the selective inhibition of CK1γ through pharmacological means remains underexplored. Chemical probes, or potent and selective inhibitors, remain one of the most powerful pharmacological tools for uncovering protein biology. Herein, we developed several novel assays for assessing target engagement with the CK1γ subfamily in cells. Enabled by these assays, we conducted a comprehensive structure-activity relationship (SAR) campaign to develop the first chemical probe, SGC-CK1γ-1, for the CK1γ subfamily. SGC-CK1γ-1, which was developed alongside a structurally related negative control compound, potently and selectively inhibited the CK1γ kinases in living cells, plus inhibited both WNT signaling and human cytomegalovirus replication.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
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 score0.125
Threshold uncertainty score0.373

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
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 head0.016
GPT teacher head0.203
Teacher spread0.187 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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 routes2
Has abstractyes

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