Isolation and identification of cytotoxic compounds from the wood of <i>Pinus resinosa</i>
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
Methanol extracts of wood from Pinus resinosa were found to be selectively cytotoxic against human lung carcinoma cells, A549 (IC50 41 +/- 6 microg/mL), human colorectal adenocarcinoma cells, DLD-1 (IC50 47 +/- 4 microg/mL) in comparison with healthy cells, WS1 (IC50 130 +/- 11 microg/mL). Five known compounds were isolated and identified by 1H, 13C NMRspectroscopy and HR-ESI-MS mass spectrometry as, pinosylvin monomethyl ether (1), pinosylvin (2), pinosylvin dimethyl ether (3), pinobanksin (4) and (-)-norachelogenin (5). Compound 4 was isolated for the first time in P. resinosa. The cytotoxicity of compounds 1-5 was evaluated against A549, DLD-1 and WS1. Compound 1 exhibited the strongest cytotoxicity against both tumor cell lines and the healthy cell line with an IC50 of 25 +/- 4 microm for A549, 20 +/- 1 microm for DLD-1 and 34 +/- 3 microm for WS1.
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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