Compounds > flecainide

flecainide and trimipramine

flecainide has been researched along with trimipramine in 7 studies

Research

Studies (7)

Timeframe	Studies, this research(%)	All Research%
pre-1990	0 (0.00)	18.7374
1990's	0 (0.00)	18.2507
2000's	4 (57.14)	29.6817
2010's	3 (42.86)	24.3611
2020's	0 (0.00)	2.80

Authors

Authors	Studies
Gao, F; Lombardo, F; Obach, RS; Shalaeva, MY	1
Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL	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
Bellman, K; Knegtel, RM; Settimo, L	1
Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K	1

Reviews

1 review(s) available for flecainide and trimipramine

Article	Year
DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans. Drug discovery today, 2016, Volume: 21, Issue:4 Topics: Chemical and Drug Induced Liver Injury; Databases, Factual; Drug Labeling; Humans; Pharmaceutical Preparations; Risk	2016

Other Studies

6 other study(ies) available for flecainide and trimipramine

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
Assessment of the health effects of chemicals in humans: II. Construction of an adverse effects database for QSAR modeling. Current drug discovery technologies, 2004, Volume: 1, Issue:4 Topics: Adverse Drug Reaction Reporting Systems; Artificial Intelligence; Computers; Databases, Factual; Drug Prescriptions; Drug-Related Side Effects and Adverse Reactions; Endpoint Determination; Models, Molecular; Quantitative Structure-Activity Relationship; Software; United States; United States Food and Drug Administration	2004
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
Comparison of the accuracy of experimental and predicted pKa values of basic and acidic compounds. Pharmaceutical research, 2014, Volume: 31, Issue:4 Topics: Chemistry, Pharmaceutical; Forecasting; Hydrogen-Ion Concentration; Pharmaceutical Preparations; Random Allocation	2014