Clerodane and Ent-kaurane Diterpenoids and C13 Nor-isoprenoids from Casearia sylvestris
Bibliographic record
Abstract
Casearia sylvestris (Flacourtiaceae) is a Brazilian and Paraguayan folk medicinal plant called as “Guaçatonga” or “Chá de Bugre” and used to treat snakebite, trauma, ulceration, obesity, and cough [1–5]. As a part of our continued work, thirteen new compounds including five new clerodane diterpene glycosides caseariasides A–E ( 1–5 ), three new ent -kaurane diterpene glycosides sylvestrisides C–E ( 6–8 ), two clerodane diterpenes caseatrins A–B ( 9–10 ), one new nitrogen-containing clerodane diterpenoid caseatrin C ( 11 ) and two new C13 nor -isoprenoid glycosides (6 S 9 S )-blumenyl B 9- O - β -D-glucopyranoside ( 12 ) and (6 S 9 S )-blumenyl B 9- O - β -D-apiofuranosyl–(1 → 6)- β -D-glucopyranoside ( 13 ) together with eight known compounds, namely, echinophyllin A ( 14 ), 4-(2-hydroxyethyl)phenol, blumenol B, icariside B5, blumenol C, byzantionoside B, loliolide and isoquercitrin were isolated from the leaves of Casearia sylvestris . Their structures were determined on the basis of 1 and 2-D spectroscopic analyses. Acknowledgements : This work is supported by the United States Department of Agriculture Specific Cooperative Research Agreement Number 58-6408-6-067 and the FDA/CFSAN grant entitled “Science Based Authentication of Dietary Supplements” Number 2 U01 FD 002071-07. References: [1] Cruz GL, (1995), Dicionario Das Plantas Uteis Do Brasil , 5th ed., Bertrand. p.599. [2] Lorenzi, Matos FJA, (2002), Plantas medicinais do Brasil: nativas e exóticas. Instituto Plantarum, São Paulo, 220–221. [3] Borges MH, et al. (2001), Toxicon, 39: 1863–1869. [4] Ruppett BM, et al. (1991), Mem. Inst. Oswaldo Cruz, 87(2): 203–205. [5] Sertié JAA, et al. (2000), Pharmaceut. Biol., 38: 112–119.
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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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".