desipramine has been researched along with troglitazone in 12 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 3 (25.00) | 29.6817 |
| 2010's | 9 (75.00) | 24.3611 |
| 2020's | 0 (0.00) | 2.80 |
| Authors | Studies |
|---|---|
| He, Z; Li, H; Liu, J; Liu, X; Sui, X; Sun, J; Sun, Y; Yan, Z | 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 |
| Fisk, L; Greene, N; Naven, RT; Note, RR; Patel, ML; Pelletier, DJ | 1 |
| Afshari, CA; Eschenberg, M; Hamadeh, HK; Lee, PH; Lightfoot-Dunn, R; Morgan, RE; Qualls, CW; Ramachandran, B; Trauner, M; van Staden, CJ | 1 |
| Ekins, S; Williams, AJ; Xu, JJ | 1 |
| Chen, M; Fang, H; Liu, Z; Shi, Q; Tong, W; Vijay, V | 1 |
| Fijorek, K; Glinka, A; Mendyk, A; Polak, S; Wiśniowska, B | 1 |
| Cantin, LD; Chen, H; Kenna, JG; Noeske, T; Stahl, S; Walker, CL; Warner, DJ | 1 |
| Afshari, CA; Chen, Y; Dunn, RT; Hamadeh, HK; Kalanzi, J; Kalyanaraman, N; Morgan, RE; van Staden, CJ | 1 |
| Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
| Jones, LH; Nadanaciva, S; Rana, P; Will, Y | 1 |
1 review(s) available for desipramine and troglitazone
| 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 |
11 other study(ies) available for desipramine and troglitazone
| Article | Year |
|---|---|
First-principle, structure-based prediction of hepatic metabolic clearance values in human.
Topics: Computational Biology; Drug Discovery; Hepatocytes; Humans; Hydrogen-Ion Concentration; Liver; Metabolic Clearance Rate; Models, Molecular; Pharmaceutical Preparations; Pharmacokinetics; Quantitative Structure-Activity Relationship; Sensitivity and Specificity; Software | 2009 |
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 |
Developing structure-activity relationships for the prediction of hepatotoxicity.
Topics: Chemical and Drug Induced Liver Injury; Databases, Factual; Humans; Structure-Activity Relationship; Tetracyclines; Thiophenes | 2010 |
Interference with bile salt export pump function is a susceptibility factor for human liver injury in drug development.
Topics: Animals; ATP Binding Cassette Transporter, Subfamily B, Member 11; ATP-Binding Cassette Transporters; Biological Assay; Biological Transport; Cell Line; Cell Membrane; Chemical and Drug Induced Liver Injury; Cytoplasmic Vesicles; Drug Evaluation, Preclinical; Humans; Liver; Rats; Reproducibility of Results; Spodoptera; Transfection; Xenobiotics | 2010 |
A predictive ligand-based Bayesian model for human drug-induced liver injury.
Topics: Bayes Theorem; Chemical and Drug Induced Liver Injury; Humans; Ligands | 2010 |
FDA-approved drug labeling for the study of drug-induced liver injury.
Topics: Animals; Benchmarking; Biomarkers, Pharmacological; Chemical and Drug Induced Liver Injury; Drug Design; Drug Labeling; Drug-Related Side Effects and Adverse Reactions; Humans; Pharmaceutical Preparations; Reproducibility of Results; United States; United States Food and Drug Administration | 2011 |
Predictive model for L-type channel inhibition: multichannel block in QT prolongation risk assessment.
Topics: Artificial Intelligence; Calcium Channel Blockers; Calcium Channels, L-Type; Cell Line; Computational Biology; Computer Simulation; Drugs, Investigational; Ether-A-Go-Go Potassium Channels; Expert Systems; Heart Rate; Humans; Models, Biological; Myocytes, Cardiac; NAV1.5 Voltage-Gated Sodium Channel; Potassium Channel Blockers; Quantitative Structure-Activity Relationship; Risk Assessment; Shaker Superfamily of Potassium Channels; Torsades de Pointes; Voltage-Gated Sodium Channel Blockers | 2012 |
Mitigating the inhibition of human bile salt export pump by drugs: opportunities provided by physicochemical property modulation, in silico modeling, and structural modification.
Topics: Animals; ATP Binding Cassette Transporter, Subfamily B, Member 11; ATP-Binding Cassette Transporters; Bile Acids and Salts; Cell Line; Chemical and Drug Induced Liver Injury; Humans; Quantitative Structure-Activity Relationship | 2012 |
A multifactorial approach to hepatobiliary transporter assessment enables improved therapeutic compound development.
Topics: Animals; ATP Binding Cassette Transporter, Subfamily B; ATP Binding Cassette Transporter, Subfamily B, Member 11; ATP-Binding Cassette Transporters; Biological Transport; Chemical and Drug Induced Liver Injury; Cluster Analysis; Drug-Related Side Effects and Adverse Reactions; Humans; Liver; Male; Multidrug Resistance-Associated Proteins; Pharmacokinetics; Rats; Rats, Sprague-Dawley; Recombinant Proteins; Risk Assessment; Risk Factors; Toxicity Tests | 2013 |
Development of a cell viability assay to assess drug metabolite structure-toxicity relationships.
Topics: Adenosine Triphosphate; Benzbromarone; Cell Line; Cell Survival; Chromans; Cytochrome P-450 CYP2C9; Cytochrome P-450 CYP2D6; Cytochrome P-450 CYP3A; Cytochrome P-450 Enzyme System; Humans; Pharmaceutical Preparations; Thiazolidinediones; Troglitazone | 2016 |