Recent Syntheses of Frog Alkaloid Epibatidine
Bibliographic record
Abstract
Many natives from Amazon use poison secreted by the skin of some colorful frogs (Dendrobatidae) on the tips of their arrows to hunt. This habit has generated interest in the isolation of these toxins. Among the over 500 isolated alkaloids, the most important is undoubtedly (-)-epibatidine. First isolated in 1992, by Daly from Epipedobates tricolor, this compound is highly toxic (LD50 about 0.4 µg per mouse). Most remarkably, its non-opioid analgesic activity was found to be about 200 times stronger than morphine. Due to its scarcity, the limited availability of natural sources, and its intriguing biological activity, more than 100 synthetic routes have been developed since the epibatidine structure was assigned. This review presents the recent formal and total syntheses of epibatidine since the excellent review published in 2002 by Olivo et al.1 Mainly, this review is summarized by the method used to obtain the azabicyclic core.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".