Novel Orthosteric/Allosteric Ligands of Cannabinoid Receptors: An Unexpected Pharmacological Profile
Bibliographic record
Abstract
The design of dualsteric/bitopic receptor ligands as compounds capable of simultaneously interacting with both the orthosteric and an allosteric binding site has gained importance to achieve enhanced receptor specificity and minimize off-target effects. In this work, we reported the synthesis and biological evaluation of a new series of compounds, namely, the RF series, obtained by chemically combining the CB1R ago-positive allosteric modulators (PAM) GAT211 with the cannabinoid receptors (CBRs) orthosteric agonist FM6b . Therefore, RF compounds were designed as dualsteric/bitopic ligands for h CB1R with the aim of obtaining stronger h CB1R agonists or ago-PAMs, with improved receptor subtype selectivity and reduction of central side effects. Unexpectedly, in vitro assays on h CB1R indicated RF compounds were inverse agonists/antagonists, exhibiting different profiles compared to those of parent compounds FM6b and GAT211 and, furthermore, two compounds behaved as h CB2R PAMs. The unpredictable change in the function of these new ligands suggests that the function of cannabinoids is not simply predicted.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".