Synthetic Derivatives of (+)-<i>epi</i>-α-Bisabolol Are Formed by Mammalian Cytochromes P450 Expressed in a Yeast Reconstituted Pathway
Why this work is in the frame
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Bibliographic record
Abstract
Identification of the enzyme(s) involved in complex biosynthetic pathways can be challenging. An alternative approach might be to deliberately diverge from the original natural enzyme source and use promiscuous enzymes from other organisms. In this paper, we have tested the ability of a series of human and animal cytochromes P450 involved in xenobiotic detoxification to generate derivatives of (+)-epi-α-bisabolol and attempt to produce the direct precursor of hernandulcin, a sweetener from Lippia dulcis for which the last enzymatic steps are unknown. Screening steps were implemented in vivo in S. cerevisiae optimized for the biosynthesis of oxidized derivatives of (+)-epi-α-bisabolol by coexpressing two key enzymes: the (+)-epi-α-bisabolol synthase and the NADPH cytochrome P450 reductase. Five out of 25 cytochromes P450 were capable of producing new hydroxylated regioisomers of (+)-epi-α-bisabolol. Of the new oxidized bisabolol products, the structure of one compound, 14-hydroxy-(+)-epi-α-bisabolol, was fully elucidated by NMR while the probable structure of the second product was determined. In parallel, the production of (+)-epi-α-bisabolol derivatives was enhanced through the addition of a supplementary genomic copy of (+)-epi-α-bisabolol synthase that augmented the final titer of hydroxylated product to 64 mg/L. We thus demonstrate that promiscuous drug metabolism cytochromes P450 can be used to produce novel compounds from a terpene scaffold.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 it