Identification of enzymes responsible for rifalazil metabolism in human liver microsomes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
1. The major metabolites of rifalazil in human are 25-deacetyl-rifalazil and 32-hydroxy-rifalazil. Biotransformation to these metabolites in pooled human liver microsomes, cytosol and supernatant 9000g (S9) fractions was studied, and the enzymes responsible for rifalazil metabolism were identified using inhibitors of esterases and cytochromes P450 (CYP). 2. The 25-deacetylation and 32-hydroxylation of rifalazil occurred in incubations with microsomes or S9 but not with cytosol, indicating that both the enzymes responsible for rifalazil metabolism were microsomal. Km and Vmax of the rifalazil-25-deacetylation in microsomes were 6.5 microM and 11.9 pmol/min/mg with NADPH, and 2.6 microM and 6.0 pmol/min/mg without NADPH, indicating that, although rifalazil-25-deacetylation did not require NADPH, NADPH activated it. Rifalazil-32-hydroxylation was NADPH dependent, and its Km and Vmax were 3.3 microM and 11.0 pmol/min/mg respectively. 3. Rifalazil-25-deacetylation in microsomes was completely inhibited by diisopropyl fluorophosphate, diethyl p-nitrophenyl phosphate and eserine, but not by p-chloromercuribenzoate or 5,5'-dithio-bis(2-nitrobenzoic acid), indicating that the enzyme responsible for the rifalazil-25-deacetylation is a B-esterase. 4. Rifalazil-32-hydroxylation in microsomes was completely inhibited by CYP3A4-specific inhibitors (fluconazole, ketoconazole, miconazole, troleandomycin) and drugs metabolized by CYP3A4 such as cyclosporin A and clarithromycin, indicating that the enzyme responsible for the rifalazil-32-hydroxylation is CYP3A4.
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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) | 0.000 | 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) | 0.003 | 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 it