ketoconazole has been researched along with trimipramine in 7 studies
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 | Studies |
---|---|
Bacsó, Z; Cianfriglia, M; Fenyvesi, F; Goda, K; Kappelmayer, J; Lustyik, G; Nagy, H; Szabó, G; Szilasi, M | 1 |
Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL | 1 |
Ahlin, G; Artursson, P; Bergström, CA; Gustavsson, L; Karlsson, J; Larsson, R; Matsson, P; Norinder, U; Pedersen, JM | 1 |
Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM | 1 |
Glen, RC; Lowe, R; Mitchell, JB | 1 |
Artursson, P; Mateus, A; Matsson, P | 1 |
Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
1 review(s) available for ketoconazole and trimipramine
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 |
6 other study(ies) available for ketoconazole and trimipramine
Article | Year |
---|---|
Distinct groups of multidrug resistance modulating agents are distinguished by competition of P-glycoprotein-specific antibodies.
Topics: Adenosine Triphosphatases; Animals; Anti-Bacterial Agents; Antibodies, Monoclonal; Antineoplastic Agents; ATP Binding Cassette Transporter, Subfamily B, Member 1; Binding, Competitive; Calcium Channel Blockers; Cyclosporine; Detergents; Drug Resistance, Multiple; Drug Resistance, Neoplasm; Flow Cytometry; Fluoresceins; Humans; Ivermectin; Mice; NIH 3T3 Cells; Substrate Specificity | 2004 |
Assessment of the health effects of chemicals in humans: II. Construction of an adverse effects database for QSAR modeling.
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 |
Structural requirements for drug inhibition of the liver specific human organic cation transport protein 1.
Topics: Cell Line; Computer Simulation; Drug Design; Gene Expression Profiling; Humans; Hydrogen Bonding; Liver; Molecular Weight; Organic Cation Transporter 1; Pharmaceutical Preparations; Predictive Value of Tests; Reverse Transcriptase Polymerase Chain Reaction; RNA, Messenger; Structure-Activity Relationship | 2008 |
Development of a phospholipidosis database and predictive quantitative structure-activity relationship (QSAR) models.
Topics: | 2008 |
Predicting phospholipidosis using machine learning.
Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine | 2010 |
A high-throughput cell-based method to predict the unbound drug fraction in the brain.
Topics: Animals; Brain; Dialysis; HEK293 Cells; High-Throughput Screening Assays; Humans; Pharmaceutical Preparations; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization | 2014 |