3β-Sulfamate Derivatives of C19 and C21 Steroids Bearing a t -Butylbenzyl or a Benzyl Group: Synthesis and Evaluation as Non-estrogenic and Non-androgenic Steroid Sulfatase Inhibitors
Bibliographic record
Abstract
A series of C19 and C21 steroids bearing one or two inhibiting groups (3beta-sulfamate and 17alpha- or 20(S)-t-butylbenzyl or benzyl) were synthesized and tested for inhibition of steroid sulfatase activity. When only a sulfamate group was added to dehydroepiandrosterone, androst-5-ene-3beta,17beta-diol, pregnenolone and 20-hydroxy-pregnenolone, no significant inhibition of steroid sulfatase occurred at concentrations of 0.3 and 3 microM. With only a t-butylbenzyl or a benzyl group, a stronger steroid sulfatase inhibition was obtained in the androst-5-ene than in the pregn-5-ene series. Comparative results from the screening tests and the IC50 values have shown that the effect of a sulfamate moiety as a second inhibiting group can be combined to the t-butylbenzyl or benzyl effect in the C19 and C21 steroid series. The 3beta-sulfamoyloxy-17alpha-t-butylbenzyl-5-androsten-17beta-ol (10) was thus found to be the most active compound with IC50 values of 46 +/- 8 and 14 +/- 1 nM, respectively for the transformations of E1S to E1 and DHEAS to DHEA. The IC50 values of compound 10 are similar to that of 17alpha-t-butylbenzyl-estradiol, which was previously reported by our group as a good steroid sulfatase reversible inhibitor, but remains higher than that of the potent inactivators estrone-3-O-sulfamate (EMATE) and 17alpha-t-butylbenzyl-EMATE. However, contrary to these two latter inhibitors, compound 10 did not induce any proliferative effect on estrogen-sensitive ZR-75-1 cells nor on androgen-sensitive Shionogi cells at concentrations tested, suggesting that this steroid sulfatase inhibitor is non estrogenic and non androgenic.
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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) | 0.002 | 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".