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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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) | 0.001 | 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".