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 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 | 0.000 | 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) | 0.002 | 0.001 |
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".