Discovery of a Dual PRMT5–PRMT7 Inhibitor
Bibliographic record
Abstract
The protein arginine methyltransferases PRMT7 and PRMT5, respectively, monomethylate and symmetrically dimethylate arginine side-chains of proteins involved in diverse cellular mechanisms, including chromatin-mediated control of gene transcription, splicing, and the RAS to ERK transduction cascade. It is believed that PRMT5 and PRMT7 act in conjunction to methylate their substrates, and genetic deletions support the notion that these enzymes derepress cell proliferation and migration in cancer. Using available structures of PRMT5, we designed DS-437, a PRMT5 inhibitor with an IC50 value of 6 μM against both PRMT5 and PRMT7 that is inactive against 29 other human protein-, DNA-, and RNA-methyltransferases and inhibits symmetrical dimethylation of PRMT5 substrates in cells. This compound behaves as a cofactor competitor and represents a valid scaffold to interrogate the potential of the PRMT5-PRMT7 axis as a target for therapy.
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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".