Functional Screening of Cytochrome P450 Activity and Uncoupling by Capillary Electrophoresis
Bibliographic record
Abstract
Cytochrome P450s (CYPs) are functionally diverse monooxygenases responsible for oxidation of endogenous and xenobiotic compounds. The function of nonmammalian CYPs are largely unknown and tools for characterization limited. CYPs critical for xenobiotic metabolism are prone to catalytic cycle uncoupling resulting in reactive oxygen species (ROS) generation that is highly dependent on the specific CYP isoform and substrate interaction. This study describes the rapid assessment of the activity and coupling efficiency of CYPs using capillary electrophoresis with UV detection. The coupling efficiency of five zebrafish (Danio rerio) CYP1 isoforms with a series of fluorogenic substrate probes was determined by the rate of NADP(+) formation and compared with fluorescent product turnover rates. In most cases, NADP(+) formation significantly overestimated CYP1 catalytic activity for substrate O-dealkylation suggesting uncoupling. ROS production was confirmed by elevated hydrogen peroxide generation in poorly coupled reactions. Reactions with β-estradiol confirmed that CYP1A, 1C1, and 1C2 have greater catalytic activity and coupling efficiency; CYP1B1 and 1D1 had coupling efficiencies under 4%. This work highlights the wide disparity in uncoupling induced by unproductive substrate binding among different CYP isoforms.
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".