carvedilol has been researched along with buspirone in 8 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 1 (12.50) | 18.2507 |
| 2000's | 2 (25.00) | 29.6817 |
| 2010's | 5 (62.50) | 24.3611 |
| 2020's | 0 (0.00) | 2.80 |
| Authors | Studies |
|---|---|
| Carrupt, PA; Gaillard, P; Schambel, P; Testa, B | 1 |
| Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL | 1 |
| He, Z; Li, H; Liu, J; Liu, X; Sui, X; Sun, J; Sun, Y; Yan, Z | 1 |
| Barnes, JC; Bradley, P; Day, NC; Fourches, D; Reed, JZ; Tropsha, A | 1 |
| Sen, S; Sinha, N | 1 |
| Giacomini, KM; Huang, Y; Khuri, N; Kido, Y; Kosaka, A; Morrissey, KM; Sali, A; Wittwer, MB; Zhang, X; Zur, AA | 1 |
| Bellman, K; Knegtel, RM; Settimo, L | 1 |
| Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
1 review(s) available for carvedilol and buspirone
| 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 |
7 other study(ies) available for carvedilol and buspirone
| Article | Year |
|---|---|
Binding of arylpiperazines, (aryloxy)propanolamines, and tetrahydropyridylindoles to the 5-HT1A receptor: contribution of the molecular lipophilicity potential to three-dimensional quantitative structure-affinity relationship models.
Topics: Indoles; Ligands; Models, Molecular; Molecular Conformation; Molecular Structure; Piperazines; Propanolamines; Receptors, Serotonin; Receptors, Serotonin, 5-HT1; Serotonin; Structure-Activity Relationship; Tetrahydronaphthalenes | 1996 |
Assessment of the health effects of chemicals in humans: II. Construction of an adverse effects database for QSAR modeling.
Topics: Adverse Drug Reaction Reporting Systems; Artificial Intelligence; Computers; Databases, Factual; Drug Prescriptions; Drug-Related Side Effects and Adverse Reactions; Endpoint Determination; Models, Molecular; Quantitative Structure-Activity Relationship; Software; United States; United States Food and Drug Administration | 2004 |
First-principle, structure-based prediction of hepatic metabolic clearance values in human.
Topics: Computational Biology; Drug Discovery; Hepatocytes; Humans; Hydrogen-Ion Concentration; Liver; Metabolic Clearance Rate; Models, Molecular; Pharmaceutical Preparations; Pharmacokinetics; Quantitative Structure-Activity Relationship; Sensitivity and Specificity; Software | 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 |
Predicting hERG activities of compounds from their 3D structures: development and evaluation of a global descriptors based QSAR model.
Topics: Computer Simulation; Ether-A-Go-Go Potassium Channels; Humans; Molecular Structure; Organic Chemicals; Quantitative Structure-Activity Relationship | 2011 |
Discovery of potent, selective multidrug and toxin extrusion transporter 1 (MATE1, SLC47A1) inhibitors through prescription drug profiling and computational modeling.
Topics: Computer Simulation; Fluorescent Dyes; Organic Cation Transport Proteins; Prescription Drugs | 2013 |
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 |