Bioassay guided fractionation of extracts from flowers of Bellis perennis L. for their anticancer activity
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Common daisy (Bellis perennis L.) is a member of the cosmopolitan family Compositae (Asteraceae). It is native to western, central, and northern Europe, but is commonly found as an invasive plant in North America (1). B. perennis has been used in the treatment of gastritis, enteritis, diarrhoea, bleeding, rheumatism, inflammation and infections of the upper respiratory tract (2–3). In this study, anticancer activity of crude hexane, dichloromethane, methanol, water extracts, also n-butanol and ethylacetate fractions (after separation of methanol extract) of flowers from Bellis perennis were investigated. Cytotoxic activities were carried out on human lung cancer (A549), human colorectal cancer (DLD-1), and normal skin fibroblasts (WS1) using the resazurin reduction test. Following the bioassay guided fractionation, the most active methanolic extract, was treated by n-butanol and ethylacetate. The n-butanolic fraction was found to be the most active against A-549 lung carcinoma and DLD-1 colon carcinoma cells, with IC50 values of 16±3 and 10±2µg/ml, respectively. The hexane, dichloromethane and water extracts did not show any significant activity against A-549 and DLD-1.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| 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 it