Compounds > trimipramine

Page last updated: 2024-08-16

trimipramine and quinacrine

trimipramine has been researched along with quinacrine in 5 studies

Research

Studies (5)

Timeframe	Studies, this research(%)	All Research%
pre-1990	0 (0.00)	18.7374
1990's	0 (0.00)	18.2507
2000's	4 (80.00)	29.6817
2010's	1 (20.00)	24.3611
2020's	0 (0.00)	2.80

Authors

Authors	Studies
Gao, F; Lombardo, F; Obach, RS; Shalaeva, MY	1
Bleich, S; Gulbins, E; Kornhuber, J; Reichel, M; Terfloth, L; Tripal, P; Wiltfang, J	1
Lombardo, F; Obach, RS; Waters, NJ	1
Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM	1
Glen, RC; Lowe, R; Mitchell, JB	1

Other Studies

5 other study(ies) available for trimipramine and quinacrine

Article	Year
Prediction of human volume of distribution values for neutral and basic drugs. 2. Extended data set and leave-class-out statistics. Journal of medicinal chemistry, 2004, Feb-26, Volume: 47, Issue:5 Topics: Algorithms; Blood Proteins; Half-Life; Humans; Hydrogen-Ion Concentration; Models, Biological; Pharmaceutical Preparations; Pharmacokinetics; Protein Binding; Statistics as Topic; Tissue Distribution	2004
Identification of new functional inhibitors of acid sphingomyelinase using a structure-property-activity relation model. Journal of medicinal chemistry, 2008, Jan-24, Volume: 51, Issue:2 Topics: Algorithms; Animals; Cell Line; Cell Line, Tumor; Chemical Phenomena; Chemistry, Physical; Enzyme Inhibitors; Humans; Hydrogen-Ion Concentration; Molecular Conformation; Quantitative Structure-Activity Relationship; Rats; Sphingomyelin Phosphodiesterase	2008
Trend analysis of a database of intravenous pharmacokinetic parameters in humans for 670 drug compounds. Drug metabolism and disposition: the biological fate of chemicals, 2008, Volume: 36, Issue:7 Topics: Blood Proteins; Half-Life; Humans; Hydrogen Bonding; Infusions, Intravenous; Pharmacokinetics; Protein Binding	2008
Development of a phospholipidosis database and predictive quantitative structure-activity relationship (QSAR) models. Toxicology mechanisms and methods, 2008, Volume: 18, Issue:2-3 Topics:	2008
Predicting phospholipidosis using machine learning. Molecular pharmaceutics, 2010, Oct-04, Volume: 7, Issue:5 Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine	2010