Hybrid Monoterpenoid Indole Alkaloids Obtained as Artifacts from Rauvolfia tetraphylla
Bibliographic record
Abstract
Rauvolfia genus of the Apocynaceae family, comprising about 60 species, is mainly distributed in America, Africa, Asia, and Oceania [ 1 ]. Plants of this genus are a rich source of monoterpenoid indole alkaloids, which have attracted great interests from biological and therapeutic aspects [ 2 – 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, previous chemical study on the ethanolic extract of Rauvolfia tetraphylla had resulted in the isolation of five new indole alkaloids, rauvotetraphyllines A–E [ 6 ]. Further investigation of the remaining components led to the isolation of another five new alkaloids bearing an unusual 2,2-dimethyl-4-oxopiperidin-6-yl moiety, rauvotetraphyllines F–H ( 1 , 3 , 4 ), 17- epi -rauvotetraphylline F ( 2 ) and 21- epi -rauvotetraphylline H ( 5 ). The present paper describes the isolation, structure elucidation, and cytotoxic evaluation of the new compounds.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Natural products chemistry paper isolating indole alkaloid artifacts from Rauvolfia; the object is phytochemistry.
The paper reports the isolation and evaluation of natural products from a plant genus.
Natural-products chemistry of alkaloids from Rauvolfia.
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 | 0.001 | 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) | 0.001 | 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".