chlorpromazine has been researched along with spectinomycin 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 | 2 (40.00) | 29.6817 |
| 2010's | 3 (60.00) | 24.3611 |
| 2020's | 0 (0.00) | 2.80 |
| Authors | Studies |
|---|---|
| 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 |
| Chibale, K; Kigondu, EM; Warner, DF; Wasuna, A | 1 |
| Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
2 review(s) available for chlorpromazine and spectinomycin
| Article | Year |
|---|---|
Pharmacologically active metabolites, combination screening and target identification-driven drug repositioning in antituberculosis drug discovery.
Topics: Animals; Anti-Bacterial Agents; Antitubercular Agents; Drug Discovery; Fusidic Acid; Humans; Microbial Sensitivity Tests; Mycobacterium tuberculosis; Tuberculosis | 2014 |
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 |
3 other study(ies) available for chlorpromazine and spectinomycin
| 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 |
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 |