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Record W4315651254 · doi:10.3390/cells12020287

SGC-CAMKK2-1: A Chemical Probe for CAMKK2

2023· article· en· W4315651254 on OpenAlexfundno aff
Carrow I. Wells, Yi Liang, Thomas L. Pulliam, Chenchu Lin, Dominik Awad, Benjamin J. Eduful, Sean O’Byrne, Mohammad Anwar Hossain, Carolina Moura Costa Catta‐Preta, Priscila Zonzini Ramos, O. Gileadi, C. Gileadi, Rafael M. Couñago, Brittany Stork, Christopher G. Langendorf, Kévin Nay, Jonathan S. Oakhill, Debarati Mukherjee, Luigi Racioppi, Anthony R. Means, Brian York, Donald P. McDonnell, John W. Scott, Daniel E. Frigo, David H. Drewry

Bibliographic record

VenueCells · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer therapeutics and mechanisms
Canadian institutionsnot available
FundersEshelman Institute for Innovation, University of North Carolina at Chapel HillDivision of ChemistryUniversity of North Carolina at Chapel HillJanssen BiotechNational Science FoundationWellcomeInnovative Medicines InitiativeGenome CanadaFundação de Amparo à Pesquisa do Estado de São PauloConselho Nacional de Desenvolvimento Científico e TecnológicoCanada Foundation for InnovationOntario Ministry of Economic Development and InnovationWellcome TrustPfizerNational Institutes of Health
KeywordsProtein kinase AKinaseSerineChemistryBiochemistryCell biologyPhosphorylationBiology

Abstract

fetched live from OpenAlex

The serine/threonine protein kinase calcium/calmodulin-dependent protein kinase kinase 2 (CAMKK2) plays critical roles in a range of biological processes. Despite its importance, only a handful of inhibitors of CAMKK2 have been disclosed. Having a selective small molecule tool to interrogate this kinase will help demonstrate that CAMKK2 inhibition can be therapeutically beneficial. Herein, we disclose SGC-CAMKK2-1, a selective chemical probe that targets CAMKK2.

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 score0.256
Threshold uncertainty score0.391

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.017
GPT teacher head0.266
Teacher spread0.249 · 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

Citations8
Published2023
Admission routes1
Has abstractyes

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