Development of a Simple and Efficient Solution-Phase Parallel Synthesis of Flexible Non-Steroidal Estradiol Mimics
Bibliographic record
Abstract
An efficient parallel synthesis was designed to provide libraries of estradiol mimics that can potentially interact with different biological targets associated with estradiol-related diseases. Two libraries of 75 members each were synthesized around a non-steroidal core by adding three levels of molecular diversity. Hydroxybenzaldehydes (1st level of diversity), protected as a methoxymethyl ether, first reacted with primary amines (2nd level of diversity) under reductive amination conditions. The resulting secondary amines next reacted with 4-bromo-1,2-epoxybutane to provide epoxide derivatives as precursors of the 3rd level of diversity. Various nucleophiles were then used to open each epoxide. Methyl isocyanate scavenger was finally used to trap out the excess amine and the protecting group was removed by hydrolysis to provide the final compounds.
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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) | 0.001 | 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".