Development of a Second-Generation, <i>In Vivo</i> Chemical Probe for PIKfyve
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide We optimized our highly potent and cell-active chemical probe for phosphatidylinositol-3-phosphate 5-kinase (PIKfyve), SGC-PIKFYVE-1, resulting in compounds with improved potency and demonstrated in vivo stability. Use of an in-cell, kinome-wide selectivity panel allowed for confirmation of excellent in-cell selectivity of our lead compound, 40, and another promising analogue, 46 . Evaluation of the pharmacokinetic (PK) profiles of these two compounds revealed that both are well tolerated systemically and orally bioavailable. Coupled with its subnanomolar cellular potency and impressive selectivity in cells, the long half-life of 40 makes it an ideal candidate for the evaluation of the consequences of PIKfyve inhibition in vivo . PIKfyve inhibition has been investigated clinically for indications including rheumatoid arthritis, Crohn’s disease, COVID-19, and ALS using a single compound (apilimod), supporting the development of orthogonal PIKfyve inhibitors with in vivo stability.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".