Prenylated Coumarins from Heracleum stenopterum, Peucedanum praeruptorum, Clausena lansium, and Murraya paniculata
Bibliographic record
Abstract
Coumarins are typical secondary metabolites accumulated in the families Apiaceae (Umbelliferae) [ 1 ] and Rutaceae [ 2 ]. The widespread incorporation of prenyl units resulted in the structural diversity of coumarins in both families [ 2 ]. Particularly, the genera Heracleum and Peucedanum from Apiaceae can be characterized by the dominance of furanocoumarins [ 3 ] and pyranocoumarins [ 4 ], respectively. Coumarins possessed diverse pharmacological properties, in which the cytotoxic effects were most extensively examined [ 5 ]. 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 [ 6 , 7 ], four new prenylated coumarins Fig. 1 , namely 6″- O - β - d -apiofuranosylapterin ( 1 ), 4′- O -isobutyroylpeguangxienin ( 2 ), 6-(3-methyl-2-oxobutyroyl)-7-methoxycoumarin ( 3 ), and 6-hydroxycoumurrayin ( 4 ), were isolated from the ethanol extract of Heracleum stenopterum , Peucedanum praeruptorum , Clausena lansium , and Murraya paniculata , respectively. This paper described the structure elucidation of new coumarins and their cytotoxicity evaluation against five human cancer cell lines.
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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 | 0.000 |
| 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 | 0.000 |
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".