The Rut Pathway for Pyrimidine Degradation: Novel Chemistry and Toxicity Problems
Bibliographic record
Abstract
The Rut pathway is composed of seven proteins, all of which are required by Escherichia coli K-12 to grow on uracil as the sole nitrogen source. The RutA and RutB proteins are central: no spontaneous suppressors arise in strains lacking them. RutA works in conjunction with a flavin reductase (RutF or a substitute) to catalyze a novel reaction. It directly cleaves the uracil ring between N-3 and C-4 to yield ureidoacrylate, as established by both nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry. Although ureidoacrylate appears to arise by hydrolysis, the requirements for the reaction and the incorporation of (18)O at C-4 from molecular oxygen indicate otherwise. Mass spectrometry revealed the presence of a small amount of product with the mass of ureidoacrylate peracid in reaction mixtures, and we infer that this is the direct product of RutA. In vitro RutB cleaves ureidoacrylate hydrolytically to release 2 mol of ammonium, malonic semialdehyde, and carbon dioxide. Presumably the direct products are aminoacrylate and carbamate, both of which hydrolyze spontaneously. Together with bioinformatic predictions and published crystal structures, genetic and physiological studies allow us to predict functions for RutC, -D, and -E. In vivo we postulate that RutB hydrolyzes the peracid of ureidoacrylate to yield the peracid of aminoacrylate. We speculate that RutC reduces aminoacrylate peracid to aminoacrylate and RutD increases the rate of spontaneous hydrolysis of aminoacrylate. The function of RutE appears to be the same as that of YdfG, which reduces malonic semialdehyde to 3-hydroxypropionic acid. RutG appears to be a uracil transporter.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".