amiodarone has been researched along with promazine in 9 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 1 (11.11) | 18.2507 |
| 2000's | 4 (44.44) | 29.6817 |
| 2010's | 4 (44.44) | 24.3611 |
| 2020's | 0 (0.00) | 2.80 |
| Authors | Studies |
|---|---|
| Gao, F; Lombardo, F; Obach, RS; Shalaeva, MY | 1 |
| Bleich, S; Gulbins, E; Kornhuber, J; Reichel, M; Terfloth, L; Tripal, P; Wiltfang, J | 1 |
| Lombardo, F; Obach, RS; Waters, NJ | 1 |
| Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM | 1 |
| Ang, KK; Arkin, MR; Chen, S; Doyle, PS; Engel, JC; McKerrow, JH | 1 |
| Glen, RC; Lowe, R; Mitchell, JB | 1 |
| Atzpodien, EA; Csato, M; Doessegger, L; Fischer, H; Lenz, B; Schmitt, G; Singer, T | 1 |
| Bellman, K; Knegtel, RM; Settimo, L | 1 |
| Hannak, D; Kattermann, R; Scharbert, F | 1 |
9 other study(ies) available for amiodarone and promazine
| Article | Year |
|---|---|
Prediction of human volume of distribution values for neutral and basic drugs. 2. Extended data set and leave-class-out statistics.
Topics: Algorithms; Blood Proteins; Half-Life; Humans; Hydrogen-Ion Concentration; Models, Biological; Pharmaceutical Preparations; Pharmacokinetics; Protein Binding; Statistics as Topic; Tissue Distribution | 2004 |
Identification of new functional inhibitors of acid sphingomyelinase using a structure-property-activity relation model.
Topics: Algorithms; Animals; Cell Line; Cell Line, Tumor; Chemical Phenomena; Chemistry, Physical; Enzyme Inhibitors; Humans; Hydrogen-Ion Concentration; Molecular Conformation; Quantitative Structure-Activity Relationship; Rats; Sphingomyelin Phosphodiesterase | 2008 |
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 |
Development of a phospholipidosis database and predictive quantitative structure-activity relationship (QSAR) models.
Topics: | 2008 |
Image-based high-throughput drug screening targeting the intracellular stage of Trypanosoma cruzi, the agent of Chagas' disease.
Topics: Animals; Cattle; Cell Line; Cell Line, Tumor; Chagas Disease; Drug Evaluation, Preclinical; Hepatocytes; High-Throughput Screening Assays; Humans; Image Processing, Computer-Assisted; Muscle, Skeletal; Parasitic Sensitivity Tests; Trypanocidal Agents; Trypanosoma cruzi | 2010 |
Predicting phospholipidosis using machine learning.
Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine | 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 |
Comparison of the accuracy of experimental and predicted pKa values of basic and acidic compounds.
Topics: Chemistry, Pharmaceutical; Forecasting; Hydrogen-Ion Concentration; Pharmaceutical Preparations; Random Allocation | 2014 |
Stepwise binary gradient high-performance liquid chromatographic system for routine drug monitoring.
Topics: Amiodarone; Chemical Precipitation; Chromatography, High Pressure Liquid; Drug Monitoring; Humans; Indomethacin; Orphenadrine; Promazine; Quality Control; Sensitivity and Specificity; Thiopental | 1996 |