UDP-<i>N</i>-acetylmuramic Acid (UDP-MurNAc) Is a Potent Inhibitor of MurA (Enolpyruvyl-UDP-GlcNAc Synthase)
Bibliographic record
Abstract
Purified recombinant MurA (enolpyruvyl-UDP-GlcNAc synthase) overexpressed in Escherichia coli had significant amounts of UDP-MurNAc (UDP-N-acetylmuramic acid) bound after purification. UDP-MurNAc is the product of MurB, the next enzyme in peptidoglycan biosynthesis. About 25% of MurA was complexed with UDP-MurNAc after five steps during purification that should have removed it. UDP-MurNAc isolated from MurA was identified by mass spectrometry, NMR analysis, and comparison with authentic UDP-MurNAc. Subsequent investigation showed that UDP-MurNAc bound to MurA tightly, with K(d,UDP)(-)(MurNAc) = 0.94 +/- 0.04 microM, as determined by fluorescence titrations using ANS (8-anilino-1-naphthalenesulfonate) as an exogenous fluorophore. UDP-MurNAc binding was competitive with ANS and phosphate, the second product of MurA, and it inhibited MurA. The inhibition patterns were somewhat ambiguous, likely being competitive with the substrate PEP (phosphoenolpyruvate) and either competitive or noncompetitive with respect to the substrate UDP-GlcNAc (UDP-N-acetylglucosamine). These results indicate a possible role for UDP-MurNAc in regulating the biosynthesis of nucleotide precursors of peptidoglycan through feedback inhibition. Previous studies indicated that UDP-MurNAc binding to MurA was not tight enough to be physiologically relevant; however, this was likely an artifact of the assay conditions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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 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".