Structure Activity Relationships and Differential Interactions and Functional Activity of Various Equine Estrogens Mediated via Estrogen Receptors (ERs) ERα and ERβ
Bibliographic record
Abstract
The human estrogen receptors (ERs) alpha and beta interact with 17beta-estradiol (17beta-E2), estrone, 17alpha-estradiol, and the ring B unsaturated estrogens, equilin, 17beta-dihydroequilin, 17alpha-dihydroequilin, equilenin, 17beta-dihydroequilenin, 17alpha-dihydroequilenin, Delta8-estrone, and Delta8, 17beta-E2 with varying affinities. In comparison to 17beta-E2, the relative binding affinities of most ring B unsaturated estrogens were 2- to 8-fold lower for ERalpha and ERbeta, however, some of these unique estrogens had two to four times greater affinity for ERbeta than ERalpha. The transcriptional activity of these estrogens in HepG2 cells transfected with ERalpha or ERbeta, or both, and the secreted-alkaline phosphatase gene showed that all estrogens were functionally active. 17beta-E2 induced the activity of secreted-alkaline phosphatase by ERalpha to a level higher than any other estrogen. Activity of other estrogens was 12-17% that of 17beta-E2. In contrast, 17beta-E2 stimulated the activity of ERbeta to a 5-fold lower level than that with ERalpha, whereas the activity of other estrogens was 66-290% that of 17beta-E2, with equilenin being the most active. The presence of both ER subtypes did not alter the functional activity of 17beta-E2, although it further enhanced the activity of 17beta-dihydroequilin (200%), 17beta-dihydroequilenin (160%), and Delta8, 17beta-E2 (130%). Except for 17beta-E2, no correlation was observed between the functional activities and their binding affinities for ER. In conclusion, our results show that the effects of ring B unsaturated estrogens are mainly mediated via ERbeta and that the presence of both ER subtypes further enhances their activity. It is now possible to develop hormone replacement therapy using selective ring B unsaturated estrogens for target tissues where ERbeta is the predominant ER.
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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".