Targeting Protein Arginine <i>N</i> -Methyltransferases with Peptide-Based Inhibitors: Opportunities and Challenges
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Recently peptide-based inhibitors have been used to selectively inhibit a family of epigenetic enzymes called protein arginine N-methyltransferases (PRMTs), which has been implicated in different physiological processes and human diseases, such as heart disease and cancer. The diverse efforts to tease out subtle structural differences among PRMT enzymes in order to generate selective inhibitors as well as existing challenges in the field will be examined. The acquisition of PRMT substrate sequence preferences and structural information obtained from small-molecule inhibitors have helped in developing different peptide-based inhibitors that show great promise not only as inhibitors, but also as molecular probes to characterize PRMTs.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it