amiodarone has been researched along with abacavir in 9 studies
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 0 (0.00) | 18.7374 |
1990's | 0 (0.00) | 18.2507 |
2000's | 3 (33.33) | 29.6817 |
2010's | 6 (66.67) | 24.3611 |
2020's | 0 (0.00) | 2.80 |
Authors | Studies |
---|---|
Andricopulo, AD; Moda, TL; Montanari, CA | 1 |
Lombardo, F; Obach, RS; Waters, NJ | 1 |
Chupka, J; El-Kattan, A; Feng, B; Miller, HR; Obach, RS; Troutman, MD; Varma, MV | 1 |
Fisk, L; Greene, N; Naven, RT; Note, RR; Patel, ML; Pelletier, DJ | 1 |
Glen, RC; Lowe, R; Mitchell, JB | 1 |
Ekins, S; Williams, AJ; Xu, JJ | 1 |
Chen, M; Fang, H; Liu, Z; Shi, Q; Tong, W; Vijay, V | 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 amiodarone and abacavir
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 |
8 other study(ies) available for amiodarone and abacavir
Article | Year |
---|---|
Hologram QSAR model for the prediction of human oral bioavailability.
Topics: Administration, Oral; Biological Availability; Holography; Humans; Models, Biological; Models, Molecular; Molecular Structure; Pharmaceutical Preparations; Pharmacokinetics; Quantitative Structure-Activity Relationship | 2007 |
Trend analysis of a database of intravenous pharmacokinetic parameters in humans for 670 drug compounds.
Topics: Blood Proteins; Half-Life; Humans; Hydrogen Bonding; Infusions, Intravenous; Pharmacokinetics; Protein Binding | 2008 |
Physicochemical determinants of human renal clearance.
Topics: Humans; Hydrogen Bonding; Hydrogen-Ion Concentration; Hydrophobic and Hydrophilic Interactions; Kidney; Metabolic Clearance Rate; Molecular Weight | 2009 |
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 |
Predicting phospholipidosis using machine learning.
Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine | 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 |
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 |