Isolation of Chamuangone, a Cytotoxic Compound against Leishmania major and Cancer Cells from Garcinia cowa Leaves and its HPLC Quantitative Determination Method
Bibliographic record
Abstract
On the basis of a leishmanicidal assay-guided isolation, chamuangone was purified from Garcinia cowaleaves together with four inactive compounds; 5-hydroxymethylfurfural; D-glyceropentaric acid,2-deoxy-3-C-(methoxycarbonyl)-1,4-lactone,5-ethyl ester; isoorientin-6"-O-rhamnoside; and dulcinoside. Chamuangone possessed a cytotoxic activity against Leishmania major with an IC50 value of 10.7 μM, and also exhibited strong inhibitory activity against lung adenocarcinoma (SBC3 and A549) and leukemia (K562, and K562/ADM) cells with IC50 values of 6.5, 7.5, 3.8, and 2.2 μM, respectively. The HPLC method utilised a TSK-gel ODS-80Tm column with the mixture of acetonitrileand 2% phosphoric acid in water (97:3, v/v) as the mobile phase at a flow rate of 1 mL/min, and UV detection at 245 nm. The parameters of linearity, precision, accuracy, specificity and sensitivity of the method were evaluated. The recoveries of the method were 100.4-101.6% and good linearity (r2≥ 0.9999) was obtained. A high degree of specificity, sensitivity and precision were also achieved.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".