trimipramine has been researched along with amineptin in 3 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 1 (33.33) | 18.2507 |
| 2000's | 0 (0.00) | 29.6817 |
| 2010's | 2 (66.67) | 24.3611 |
| 2020's | 0 (0.00) | 2.80 |
| Authors | Studies |
|---|---|
| Medina-Hernández, MJ; Quiñones-Torrelo, C; Sagrado, S; Villanueva-Camañas, RM | 1 |
| Glen, RC; Lowe, R; Mitchell, JB | 1 |
| Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
1 review(s) available for trimipramine and amineptin
| Article | Year |
|---|---|
DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans.
Topics: Chemical and Drug Induced Liver Injury; Databases, Factual; Drug Labeling; Humans; Pharmaceutical Preparations; Risk | 2016 |
2 other study(ies) available for trimipramine and amineptin
| Article | Year |
|---|---|
Development of predictive retention-activity relationship models of tricyclic antidepressants by micellar liquid chromatography.
Topics: Adenylyl Cyclase Inhibitors; Adrenergic alpha-Antagonists; Animals; Antidepressive Agents, Tricyclic; Chromatography, Liquid; Enzyme Inhibitors; Histamine H1 Antagonists; Micelles; Models, Biological; Norepinephrine; Rats; Receptors, Adrenergic, alpha-1; Selective Serotonin Reuptake Inhibitors; Serotonin; Structure-Activity Relationship | 1999 |
Predicting phospholipidosis using machine learning.
Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine | 2010 |