Antineoplastic Agents. 575. The Fungus Aspergillus phoenicis
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
Cancer cell line bioassay-guided separation of an extract from the fungus Aspergillus phoenicis collected in Saskatchewan, Canada, resulted in the isolation of three new constituents designated asperlactone (1), aspergillol A (2), and aspergillol B (3), accompanied by four previously known constituents: asperic acid (4), hexylitaconic acid (5), methyl 2-hydroxyphenylacetate (6), and methyl 4-hydroxyphenylacetate (7). The structure of each was determined by analyses of high-resolution mass spectra and high-field NMR data. Asperic acid (4) was found to inhibit growth of the murine lymphocytic leukemia P388 (ED 50 0.18 μg/mL) and a panel of human cancer cell lines (GI 50 1.7-2.0 μg/mL; pancreas, breast, CNS, lung, colon, and prostate), while aspergillol A (2) showed moderate inhibition against the breast adenocarcinoma MCF-7 (GI 50 7.2 μg/mL).
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) | 0.000 | 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 it