amikacin has been researched along with phenobarbital in 9 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 1 (11.11) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 2 (22.22) | 29.6817 |
| 2010's | 5 (55.56) | 24.3611 |
| 2020's | 1 (11.11) | 2.80 |
| Authors | Studies |
|---|---|
| Lombardo, F; Obach, RS; Waters, NJ | 1 |
| Barnes, JC; Bradley, P; Day, NC; Fourches, D; Reed, JZ; Tropsha, A | 1 |
| Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM | 1 |
| Glen, RC; Lowe, R; Mitchell, JB | 1 |
| Afshari, CA; Eschenberg, M; Hamadeh, HK; Lee, PH; Lightfoot-Dunn, R; Morgan, RE; Qualls, CW; Ramachandran, B; Trauner, M; van Staden, CJ | 1 |
| Atzpodien, EA; Csato, M; Doessegger, L; Fischer, H; Lenz, B; Schmitt, G; Singer, T | 1 |
| Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
| Chow-Tung, E; John, EG; Lau, AH; Vidyasagar, D | 1 |
| Charlier, C; Dubois, N; Gilson, M; Sqalli, G | 1 |
1 review(s) available for amikacin and phenobarbital
| 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 amikacin and phenobarbital
| Article | Year |
|---|---|
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 |
Cheminformatics analysis of assertions mined from literature that describe drug-induced liver injury in different species.
Topics: Animals; Chemical and Drug Induced Liver Injury; Cluster Analysis; Databases, Factual; Humans; MEDLINE; Mice; Models, Chemical; Molecular Conformation; Quantitative Structure-Activity Relationship | 2010 |
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 |
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 |
In silico assay for assessing phospholipidosis potential of small druglike molecules: training, validation, and refinement using several data sets.
Topics: Animals; Cattle; Cells, Cultured; Computer Simulation; Cornea; Drug-Related Side Effects and Adverse Reactions; Fibroblasts; Lipidoses; Lysosomal Storage Diseases; Models, Molecular; Pharmaceutical Preparations; Phospholipids; Structure-Activity Relationship; Thermodynamics | 2012 |
Effect of peritoneal dialysis on serum concentrations of three drugs commonly used in pediatric patients.
Topics: Amikacin; Cefazolin; Female; Humans; Infant; Infant, Newborn; Kanamycin; Male; Metabolic Clearance Rate; Peritoneal Dialysis; Phenobarbital | 1985 |
Analytical validation of a quantitative method for therapeutic drug monitoring on the Alinity
Topics: Amikacin; Automation, Laboratory; Colorimetry; Drug Monitoring; Gentamicins; Humans; Immunoassay; Nephelometry and Turbidimetry; Phenobarbital; Phenytoin; Reproducibility of Results; Theophylline; Valproic Acid; Vancomycin | 2020 |