<i>N</i><sup>η</sup>-Substituted Arginyl Peptide Inhibitors of Protein Arginine <i>N</i>-Methyltransferases
Bibliographic record
Abstract
Protein arginine N-methyltransferases (PRMTs) catalyze the post-translational methylation of arginine residues within substrate proteins. Their roles in the epigenetic regulation of gene expression make them viable targets for drug discovery. Peptides containing a single arginine residue substituted at the guanidino nitrogen (N(η)) with an ethyl group bearing zero to three fluorine atoms (R1-1, -2, -3, and -4) have been synthesized and tested for methylation and inhibition activity with PRMT1, PRMT6, and CARM1. Only the nonfluorinated R1-1 peptide is methylated by PRMT1, demonstrating that the N(η)-substituted arginine is accommodated by its active site. The R1-1 ethyl-substituted guanidine N(η) was further identified as the methylation site via mass spectrometry. Although weak inhibitors of CARM1, R1-1, -2, -3, and -4 are potent inhibitors of PRMT1 and PRMT6. These peptides are more potent against PRMT1 than product inhibitor peptides, showing that N(η)-substituted arginyl peptides do not work by a purely product inhibitor mechanism. A trend of increasing potency with an increase in the number of fluorine atoms is observed for PRMT1, which may result from the corresponding change in the guanidino dipole moment. Modeling of the ethyl-arginine moiety of the R1-1 peptide demonstrates that the active site of PRMT1 accommodates such modifications. N(η)-Substituted arginyl peptides represent lead compounds for the further development of inhibitors that target the methyl-acceptor binding site of PRMTs.
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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) | 0.002 | 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".