Functional Cell-Based Screening and Saturation Transfer Double-Difference NMR Have Identified Haplosamate A as a Cannabinoid Receptor Agonist
Bibliographic record
Abstract
A marine natural product extract library has been screened with a functional cell-based G-protein coupled receptor assay to find compounds capable of binding the human cannabinoid receptors CB1 and CB2. The methanol extract of the marine sponge Dasychalina fragilis collected in Papua New Guinea was active in the assay. Bioassay-guided fractionation of the extract identified the phosphorylated sterol sulfate haplosamate A (1) as a cannabinoid receptor agonist. The high water solubility of haplosamate A (1) allowed exploration of its binding interactions with the human cannabinoid receptors in whole insect cells by means of saturation transfer double-difference NMR spectroscopy. This technique confirmed that haplosamate A (1) binds selectively to these receptors.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".