promazine has been researched along with zithromax in 5 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 3 (60.00) | 29.6817 |
| 2010's | 1 (20.00) | 24.3611 |
| 2020's | 1 (20.00) | 2.80 |
| Authors | Studies |
|---|---|
| Gao, F; Lombardo, F; Obach, RS; Shalaeva, MY | 1 |
| Lombardo, F; Obach, RS; Waters, NJ | 1 |
| Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM | 1 |
| Glen, RC; Lowe, R; Mitchell, JB | 1 |
| Dranchak, PK; Huang, R; Inglese, J; Lamy, L; Oliphant, E; Queme, B; Tao, D; Wang, Y; Xia, M | 1 |
5 other study(ies) available for promazine and zithromax
| 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 |
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 |
Predicting phospholipidosis using machine learning.
Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine | 2010 |
In vivo quantitative high-throughput screening for drug discovery and comparative toxicology.
Topics: Animals; Caenorhabditis elegans; Drug Discovery; High-Throughput Screening Assays; Humans; Proteomics; Small Molecule Libraries | 2023 |