Un-LOK-ing a New Approach for Conformational Selective Targeting of STK10 (LOK)
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide STK10 (serine/threonine kinase 10, LOK), is an important regulator of diverse cellular processes, such as cell cycle progression and lymphocyte migration. STK10 has emerged as a potential therapeutic target for diseases associated with impaired cell migration and cell division. Here, we present a late-stage optimization of a macrocyclic pyrazolo[1,5- a ]pyrimidine scaffold that led to a urea-based lead series targeting the back-pocket of STK10. Co-crystal structure analysis of 23 revealed that the optimized macrocycles adopted a unique binding mode that protrudes deep into the back-pocket of STK10. Compound 23 exhibited potent on-target activity in biophysical and activity assays and displayed nanomolar activity for STK10 in cells. In addition, 23 shows good selectivity against the kinome and remarkably also against the closely related kinase SLK (STE20-like kinase). Therefore, we propose that targeting the unique and largely extended pocket in STK10 represents an opportunity to develop highly selective STK10 inhibitors.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".