Discovery of 3-Benzyl-1-(<i>trans</i>-4-((5-cyanopyridin-2-yl)amino)cyclohexyl)-1-arylurea Derivatives as Novel and Selective Cyclin-Dependent Kinase 12 (CDK12) Inhibitors
Bibliographic record
Abstract
Cyclin-dependent kinase 12 (CDK12) plays a key role in the coordination of transcription with elongation and mRNA processing. CDK12 mutations found in tumors and CDK12 inhibition sensitize cancer cells to DNA-damaging reagents and DNA-repair inhibitors. This suggests that CDK12 inhibitors are potential therapeutics for cancer that may cause synthetic lethality. Here, we report the discovery of 3-benzyl-1-( trans-4-((5-cyanopyridin-2-yl)amino)cyclohexyl)-1-arylurea derivatives as novel and selective CDK12 inhibitors. Structure-activity relationship studies of a HTS hit, structure-based drug design, and conformation-oriented design using the Cambridge Structural Database afforded the optimized compound 2, which exhibited not only potent CDK12 (and CDK13) inhibitory activity and excellent selectivity but also good physicochemical properties. Furthermore, 2 inhibited the phosphorylation of Ser2 in the C-terminal domain of RNA polymerase II and induced growth inhibition in SK-BR-3 cells. Therefore, 2 represents an excellent chemical probe for functional studies of CDK12 and could be a promising lead compound for drug discovery.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".