Chemical Synthesis and NMR Characterization of Non Steroidal Mimics of an Estradiol Derivative Used as Inhibitor of 17beta-Hydroxysteroid Dehydrogenase Type 1
Bibliographic record
Abstract
Inhibiting estradiol (E2) biosynthesis through 17?-hydroxysteroid dehydrogenase type 1 (17?-HSD1) inhibitors is a promising strategy for breast cancer therapy. We have designed a non-steroidal template to mimic CC-156, a potent steroidal inhibitor of 17?-HSD1. Starting from tetrahydro-isoquinolinol hydrobromide, two representative compounds were synthesized in six chemical steps: protection of the amino group, protection of the phenol, hydrolysis of the N-protecting group Fmoc, nucleophilic substitution to introduce an ethyloxirane, phenolysis with meta or para hydroxybenzamide and the hydrolysis of the MOM protecting group. Although the compounds showed a good fit when docked in the catalytic site of the enzyme, conserving the key interactions with amino acids His221 and Ser142, observed from the crystalline structure of inhibitor CC-156 with 17?-HSD1, they weakly inhibited 17?-HSD1. However, they did not show estrogenic activity when tested in vitro, suggesting the potential of this non-steroidal template for drug design. Furthermore, the synthetic approach reported here opens a door to the preparation of additional non-steroidal mimics of E2 derivatives, which could be tested on 17?-HSD1 and others biological targets.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 |
| 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 teacher head, 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".