Dopamine D<sub>3</sub> receptor binding by D<sub>3</sub> agonist 7-OH-DPAT (7-hydroxy-dipropylaminotetralin) and antipsychotic drugs measured ex vivo by quantitative autoradiography
Bibliographic record
Abstract
Because the dopamine D3 receptor is primarily expressed in regions of the limbic system of brain, it was proposed that it may represent a target for antipsychotic drugs that is free of extrapyramidal side effects. An ex vivo receptor binding technique employing [3H]7-OH-DPAT was used to evaluate in vivo occupancy of dopamine D3 receptors in the rat nucleus accumbens by selective D3 agonist 7-OH-DPAT (7-hydroxy-dipropylaminotetralin) and various antipsychotic drugs. With an ID50 value of 0.07 mg/kg, the selective D3 agonist (+)-7-OH-DPAT had the most potent inhibitory effect on ex vivo binding of [3H]7-OH-DPAT among all drugs tested. Clinical doses of phenothiazine drugs, such as chlorpromazine and levomepromazine, induce binding to D3 receptors in vivo, while atypical antipsychotic drugs, such as clozapine, pimozide, and sulpiride, are very weak in inhibiting ex vivo binding of [3H]7-OH-DPAT, indicating that the role of D3 receptors as targets of antipsychotic drugs free of extrapyramidal side effects may not be important.
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.
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) | 0.001 | 0.001 |
| 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) | 0.004 | 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".