Lanostane-Type Triterpenoids from Scilla scilloides and Structure Revision of Drimiopsin D
Bibliographic record
Abstract
Scilla scilloides (Lindl.) Druce is a perennial herb belonging to the Liliaceae family, also compiled in Hyacinthaceae family in the relatively new classification system [ 1 ]. The bulbs or the whole plants have been used as a foodstuff, a traditional Chinese medicine for promoting blood circulation, an analgesic, an anti-inflammatory agent, and treatment of heart failure and arrhythmia [ 2 ]. Previous chemical investigations on S. scilloides reported homoisoflavones, lanostane-type and norlanostane-type triterpenoids, xanthones, lignans, etc. [ 3 – 10 ]. As part of a BioBioPha ( http://www.chemlib.cn ) objective to assemble a large-scale natural product library valuable in the discovery of new drug leads from nature [ 11 – 14 ], the phytochemical investigation on the whole plants of S. scilloides led to isolation of two new lanostane-type triterpenoids, namely scillascillol ( 1 ) and scillascillone ( 2 ), a new norlanostane-triterpene glycoside, namely scillascilloside B-1 ( 3 ), together with two known norlanostanes, 15-deoxoeucosterol ( 4 ) [ 4 ] and 3-dehydro-15-deoxoeucosterol ( 5 ) [ 4 ], and three known xanthones, drimiopsin D ( 6 ) [ 15 ], drimiopsin C ( 7 ) [ 15 ] and norlichexanthone ( 8 ) [ 16 ] (Fig. 1 ). This paper describes the isolation and structural elucidation of new lanostane-type triterpenoids and structure revision of a xanthone drimiopsin D.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".