Stereoselective Syntheses of (+)-2-<i>epi</i>-Deoxoprosopinine, (−)-Deoxoprosophylline, (+)-<i>cis</i>-195A, and 2,5-Di-<i>epi</i>-<i>cis</i>-195A from a Common Chiral Nonracemic Building Block
Bibliographic record
Abstract
Approaches toward the syntheses of alkaloids belonging to the 2,6-disubstituted 3-hydroxypiperidine and cis-decahydroquinoline (cis-DHQ) classes of alkaloids are developed, starting from a common chiral nonracemic bicyclic lactam lactone (BLL). Two key δ-lactam intermediates, (5S,6S)-5-hydroxy-6-hydroxymethyl- and (5S,6S)-5-hydroxy-6-methylpiperidin-2-ones, are prepared; the latter δ-lactam is obtained via a direct decarbonylation of a bicyclic lactam lactol. The BLL is also used to prepare (4aR,5R,8aS)- and (4aR,5S,8aS)-5-methyloctahydroquinolin-2-ones, which involved a 6-exo-trig free-radical conjugate addition reaction. The stereoselectivity observed in the free-radical cyclization step is found to be governed by allylic 1,2-strain arising from the interaction of the N-(p-methoxybenzyl) group and the C6 substituent in the lactam ring of the free-radical intermediate. The effectiveness of the developed approaches is demonstrated by the asymmetric syntheses of (+)-2-epi-deoxoprosopinine, (-)-deoxoprosophylline, (+)-cis-195A, and 2,5-di-epi-cis-195A.
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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".