Quaternary ammonium-linked glucuronidation of 1-substituted imidazoles: studies of human UDP-glucuronosyltransferases involved and substrate specificities.
Bibliographic record
Abstract
A series of eight 1-substituted imidazoles was investigated as model substrates for glucuronidation at an aromatic tertiary amine of polyaza heterocyclic ring systems. The human UDP-glucuronosyltransferases (UGTs) involved and substrate specificities were investigated. Nine expressed enzymes (UGT1A1, UGT1A3, UGT1A4, UGT1A6, UGT1A7, UGT1A9, UGT1A10, UGT2B7, and UGT2B15) were examined, but only UGT1A4 catalyzed the formation of a quaternary ammonium-linked glucuronide metabolite for six of the substrates. UGT1A3 also catalyzed the glucuronidation of the previously investigated 1-phenylimidazole but none of the newly investigated compounds. No glucuronidation was observed with 1-(4-nitrophenyl)imidazole, the compound with the 4-phenyl substituent with the largest electron withdrawing effect. The incubation conditions for the determination of the kinetic constants for UGT1A4 catalysis of six substrates were optimized and included incubation at pH 7.4 with alamethicin at 10 microg/mg of protein. Latency disrupting agents, including alamethicin and sonication, enhanced glucuronidation 1.25-fold at most. There were 17.5- and 2.2-fold variations in the apparent K(m) (range, 0.18-3.15 mM) and V(max) values (range, 0.16-0.35 nmol/min/mg of protein). Linear correlation analyses between UGT1A4 kinetics and substrate physicochemical parameters showed significant correlation between V(max) and both the partition coefficient (log P, n-octanol/water) and pK(a) and between K(m) and pK(a), thereby indicating that the lipophilicity and the ease of availability of the tertiary amine lone pair of electrons of the substrate are important with respect to enzyme catalysis.
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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 | 0.000 | 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) | 0.000 | 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 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".