Discovery of a Potent, Selective, and Cell-Active Dual Inhibitor of Protein Arginine Methyltransferase 4 and Protein Arginine Methyltransferase 6
Bibliographic record
Abstract
Well-characterized selective inhibitors of protein arginine methyltransferases (PRMTs) are invaluable chemical tools for testing biological and therapeutic hypotheses. Based on 4, a fragment-like inhibitor of type I PRMTs, we conducted structure-activity relationship (SAR) studies and explored three regions of this scaffold. The studies led to the discovery of a potent, selective, and cell-active dual inhibitor of PRMT4 and PRMT6, 17 (MS049). As compared to 4, 17 displayed much improved potency for PRMT4 and PRMT6 in both biochemical and cellular assays. It was selective for PRMT4 and PRMT6 over other PRMTs and a broad range of other epigenetic modifiers and nonepigenetic targets. We also developed 46 (MS049N), which was inactive in biochemical and cellular assays, as a negative control for chemical biology studies. Considering possible overlapping substrate specificity of PRMTs, 17 and 46 are valuable chemical tools for dissecting specific biological functions and dysregulation of PRMT4 and PRMT6 in health and disease.
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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) | 0.001 | 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".