dan 2163 has been researched along with n-oleoylethanolamine in 4 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 0 (0.00) | 29.6817 |
| 2010's | 3 (75.00) | 24.3611 |
| 2020's | 1 (25.00) | 2.80 |
| Authors | Studies |
|---|---|
| Jadhav, A; Kerns, E; Nguyen, K; Shah, P; Sun, H; Xu, X; Yan, Z; Yu, KR | 1 |
| Kabir, M; Kerns, E; Nguyen, K; Shah, P; Sun, H; Wang, Y; Xu, X; Yu, KR | 1 |
| Kabir, M; Kerns, E; Neyra, J; Nguyen, K; Nguyễn, ÐT; Shah, P; Siramshetty, VB; Southall, N; Williams, J; Xu, X; Yu, KR | 1 |
| Gerth, CW; Hellmich, M; Hoyer, C; Klosterkötter, J; Koethe, D; Leweke, FM; Muhl, D; Pahlisch, F; Piomelli, D | 1 |
1 trial(s) available for dan 2163 and n-oleoylethanolamine
| Article | Year |
|---|---|
Cannabidiol enhances anandamide signaling and alleviates psychotic symptoms of schizophrenia.
Topics: Acute Disease; Adult; Amides; Amisulpride; Antipsychotic Agents; Arachidonic Acids; Cannabidiol; Double-Blind Method; Drug Therapy, Combination; Endocannabinoids; Ethanolamines; Female; Humans; Male; Oleic Acids; Palmitic Acids; Polyunsaturated Alkamides; Psychiatric Status Rating Scales; Schizophrenia; Schizophrenic Psychology; Signal Transduction; Sulpiride; Young Adult | 2012 |
3 other study(ies) available for dan 2163 and n-oleoylethanolamine
| Article | Year |
|---|---|
Highly predictive and interpretable models for PAMPA permeability.
Topics: Artificial Intelligence; Caco-2 Cells; Cell Membrane Permeability; Humans; Models, Biological; Organic Chemicals; Regression Analysis; Support Vector Machine | 2017 |
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.
Topics: Drug Discovery; Organic Chemicals; Pharmaceutical Preparations; Solubility | 2019 |
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.
Topics: Animals; Computer Simulation; Databases, Factual; Drug Discovery; High-Throughput Screening Assays; Liver; Machine Learning; Male; Microsomes, Liver; National Center for Advancing Translational Sciences (U.S.); Pharmaceutical Preparations; Quantitative Structure-Activity Relationship; Rats; Rats, Sprague-Dawley; Retrospective Studies; United States | 2020 |