chlorpromazine has been researched along with zithromax in 15 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 5 (33.33) | 29.6817 |
| 2010's | 9 (60.00) | 24.3611 |
| 2020's | 1 (6.67) | 2.80 |
| Authors | Studies |
|---|---|
| Gao, F; Lombardo, F; Obach, RS; Shalaeva, MY | 1 |
| Abraham, MH; Acree, WE; Ibrahim, A | 1 |
| Lombardo, F; Obach, RS; Waters, NJ | 1 |
| Chupka, J; El-Kattan, A; Feng, B; Miller, HR; Obach, RS; Troutman, MD; Varma, MV | 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 |
| Chang, G; El-Kattan, A; Miller, HR; Obach, RS; Rotter, C; Steyn, SJ; 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 |
| Ambroso, JL; Ayrton, AD; Baines, IA; Bloomer, JC; Chen, L; Clarke, SE; Ellens, HM; Harrell, AW; Lovatt, CA; Reese, MJ; Sakatis, MZ; Taylor, MA; Yang, EY | 1 |
| Afshari, CA; Chen, Y; Dunn, RT; Hamadeh, HK; Kalanzi, J; Kalyanaraman, N; Morgan, RE; van Staden, CJ | 1 |
| Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
| Barreca, ML; Cannalire, R; Cecchetti, V; Couto, I; Felicetti, T; Machado, D; Manfroni, G; Massari, S; Sabatini, S; Santos Costa, S; Tabarrini, O; Viveiros, M | 1 |
| Dranchak, PK; Huang, R; Inglese, J; Lamy, L; Oliphant, E; Queme, B; Tao, D; Wang, Y; Xia, M | 1 |
1 review(s) available for chlorpromazine and zithromax
| 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 |
14 other study(ies) available for chlorpromazine 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 |
Air to lung partition coefficients for volatile organic compounds and blood to lung partition coefficients for volatile organic compounds and drugs.
Topics: Air; Animals; Humans; Lung; Organic Chemicals; Probability; Rats; Tissue Distribution; Volatilization | 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 |
Physicochemical determinants of human renal clearance.
Topics: Humans; Hydrogen Bonding; Hydrogen-Ion Concentration; Hydrophobic and Hydrophilic Interactions; Kidney; Metabolic Clearance Rate; Molecular Weight | 2009 |
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 |
Physicochemical space for optimum oral bioavailability: contribution of human intestinal absorption and first-pass elimination.
Topics: Administration, Oral; Biological Availability; Humans; Intestinal Absorption; Pharmaceutical Preparations | 2010 |
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 |
Preclinical strategy to reduce clinical hepatotoxicity using in vitro bioactivation data for >200 compounds.
Topics: Chemical and Drug Induced Liver Injury; Cytochrome P-450 Enzyme Inhibitors; Cytochrome P-450 Enzyme System; Decision Trees; Drug Evaluation, Preclinical; Drug-Related Side Effects and Adverse Reactions; Glutathione; Humans; Liver; Pharmaceutical Preparations; Protein Binding | 2012 |
A multifactorial approach to hepatobiliary transporter assessment enables improved therapeutic compound development.
Topics: Animals; ATP Binding Cassette Transporter, Subfamily B; ATP Binding Cassette Transporter, Subfamily B, Member 11; ATP-Binding Cassette Transporters; Biological Transport; Chemical and Drug Induced Liver Injury; Cluster Analysis; Drug-Related Side Effects and Adverse Reactions; Humans; Liver; Male; Multidrug Resistance-Associated Proteins; Pharmacokinetics; Rats; Rats, Sprague-Dawley; Recombinant Proteins; Risk Assessment; Risk Factors; Toxicity Tests | 2013 |
Natural isoflavone biochanin A as a template for the design of new and potent 3-phenylquinolone efflux inhibitors against Mycobacterium avium.
Topics: Anti-Bacterial Agents; Drug Design; Genistein; Mycobacterium avium; Quinolones | 2017 |
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 |