Synthesis of Constrained Raloxifene Analogues by Complementary Use of Friedel−Crafts and Directed Remote Metalation Reactions
Bibliographic record
Abstract
New constrained heterocyclic analogues, 2a,b and 3, of Raloxifene (1) have been prepared by complementary Directed remote Metalation (DreM)/Friedel-Crafts cyclization approaches. Utilization of a benzylidene-thiolactone rearrangement was successfully implemented to construct benzothiophenes 13a-c in good yields. Selective deprotection of 13a and 13b induced by complexation followed by triflation gave 18 and 23, thereby allowing efficient Suzuki-Miyaura cross coupling with borolane 16 to give biaryls 19 and 24. Treatment of 19 with BCl(3) induced an intramolecular para Fridel-Crafts cyclization and concomitant double deprotection to furnish analogue 2a, a new 5,6,6,6-(C(4)S-C(6)-C(6)-C(6)) sulfur-containing heterocycle. Exposure of 25 with excess LDA induced a DreM cyclization delivering the ortho-substituted 5,6,6,6-(C(4)S-C(6)-C(6)-C(6)) heterocylic analogue 26 in 70% yield. Similar treatment of 13c and 27 afforded 30, representing the novel 5,5,6,6-(C(4)S-C(5)-C(6)-C(6)) ring system, which was subjected to Suzuki-Miyaura cross coupling with 16 to give the biaryl 31 in 93% yield; deprotection furnished the final constrained analogue 3.
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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".