A Kinetic Study of Human Protein Arginine N-Methyltransferase 6 Reveals a Distributive Mechanism
Bibliographic record
Abstract
Human protein arginine N-methyltransferase 6 (PRMT6) transfers methyl groups from the co-substrate S-adenosyl-L-methionine to arginine residues within proteins, forming S-adenosyl-L-homocysteine as well as omega-N(G)-monomethylarginine (MMA) and asymmetric dimethylarginine (aDMA) residues in the process. We have characterized the kinetic mechanism of recombinant His-tagged PRMT6 using a mass spectrometry method for monitoring the methylation of a series of peptides bearing a single arginine, MMA, or aDMA residue. We find that PRMT6 follows an ordered sequential mechanism in which S-adenosyl-L-methionine binds to the enzyme first and the methylated product is the first to dissociate. Furthermore, we find that the enzyme displays a preference for the monomethylated peptide substrate, exhibiting both lower K(m) and higher V(max) values than what are observed for the unmethylated peptide. This difference in substrate K(m) and V(max), as well as the lack of detectable aDMA-containing product from the unmethylated substrate, suggest a distributive rather than processive mechanism for multiple methylations of a single arginine residue. In addition, we speculate that the increased catalytic efficiency of PRMT6 for methylated substrates combined with lower K(m) values for native protein methyl acceptors may obscure this distributive mechanism to produce an apparently processive mechanism.
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How this classification was reachedexpand
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) | 0.000 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".