STUDY OF THE CYTOTOXIC ACTIVITY OF ALKALOID- CONTAINING FRACTIONS ISOLATED FROM CERTAIN PLANT SPECIES GROWING AND INTRODUCED IN GEORGIA
Bibliographic record
Abstract
The objects of the study were Ephedra procera Fisch (Fam. Ephedraceae), Taxus baccata L. (Fam. Taxaceae) and Mahonia aquifolium (Pursh) Nutt (Fam. Berberidaceae) growing or introduced in Georgia. Biologically active alkaloid-containing substances were obtained by liquid-liquid extraction. In all studied species, the dominant alkaloids belong to the acyclic, diterpene and isoquinoline groups of alkaloids, respectively. In vitro cytotoxic activity was evaluated on A-549 (lung carcinoma cell lines), DLD-1 (colon adenocarcinoma cells) and WS-1 (human fibroblast normal cell lines). The sums of alkaloids obtained from Ephedra Procera showed selective cytotoxic activity against A-549 and DLD-1. An alkaloid enriched fraction isolated from Taxus baccata L. demonstrated significant specific cytotoxic activity against A-549 and DLD-1 cell lines. The sums obtained from Mahonia aquifolium exhibited pronounced activity against all cell lines - A-549, DLD-1 and WS-1 according to the Resazurine and Hoechst models.
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) | 0.000 | 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) | 0.000 | 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".