propranolol has been researched along with sertraline in 18 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 1 (5.56) | 18.2507 |
| 2000's | 2 (11.11) | 29.6817 |
| 2010's | 14 (77.78) | 24.3611 |
| 2020's | 1 (5.56) | 2.80 |
| Authors | Studies |
|---|---|
| Bilter, GK; Dias, J; Huang, Z; Keon, BH; Lamerdin, J; MacDonald, ML; Michnick, SW; Minami, T; Owens, S; Shang, Z; Westwick, JK; Yu, H | 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 |
| 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 |
| Chen, M; Fang, H; Liu, Z; Shi, Q; Tong, W; Vijay, V | 1 |
| Fijorek, K; Glinka, A; Mendyk, A; Polak, S; Wiśniowska, B | 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 |
| Cantin, LD; Chen, H; Kenna, JG; Noeske, T; Stahl, S; Walker, CL; Warner, DJ | 1 |
| Chen, L; Fei, J; Mei, Y; Ren, S; Yan, SF; Zeng, J; Zhang, JZ | 1 |
| Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
| Bavari, S; Besch, R; Duplantier, AJ; Jay, WB; Kota, KP; Kuehl, K; Lazić, M; Mudhasani, R; Panchal, RG; Pavić, A; Retterer, C; Sean, VA; Selaković, Ž; Šolaja, BA; Soloveva, V; Tran, JP; Vasiljević, B; Verbić, T | 1 |
| Iruela, LM | 1 |
| Dixit, S; Park, JH | 1 |
| Martins, R; Ribeiro, S; Santos, MM; Torres, T | 1 |
| Ding, J; Jiang, H; Razanajatovo, RM; Zhang, S; Zou, H | 1 |
| Ding, J; Huang, J; Liu, J; Razanajatovo, RM; Wang, Z; Zheng, L; Zou, H | 1 |
1 review(s) available for propranolol and sertraline
| 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 |
17 other study(ies) available for propranolol and sertraline
| Article | Year |
|---|---|
Identifying off-target effects and hidden phenotypes of drugs in human cells.
Topics: Bacterial Proteins; Cell Line; Cell Proliferation; Cluster Analysis; Drug Design; Drug Evaluation, Preclinical; Genetics; Humans; Luminescent Proteins; Molecular Structure; Phenotype; Recombinant Fusion Proteins; Signal Transduction; Structure-Activity Relationship | 2006 |
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 |
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 |
FDA-approved drug labeling for the study of drug-induced liver injury.
Topics: Animals; Benchmarking; Biomarkers, Pharmacological; Chemical and Drug Induced Liver Injury; Drug Design; Drug Labeling; Drug-Related Side Effects and Adverse Reactions; Humans; Pharmaceutical Preparations; Reproducibility of Results; United States; United States Food and Drug Administration | 2011 |
Predictive model for L-type channel inhibition: multichannel block in QT prolongation risk assessment.
Topics: Artificial Intelligence; Calcium Channel Blockers; Calcium Channels, L-Type; Cell Line; Computational Biology; Computer Simulation; Drugs, Investigational; Ether-A-Go-Go Potassium Channels; Expert Systems; Heart Rate; Humans; Models, Biological; Myocytes, Cardiac; NAV1.5 Voltage-Gated Sodium Channel; Potassium Channel Blockers; Quantitative Structure-Activity Relationship; Risk Assessment; Shaker Superfamily of Potassium Channels; Torsades de Pointes; Voltage-Gated Sodium Channel Blockers | 2012 |
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 |
Mitigating the inhibition of human bile salt export pump by drugs: opportunities provided by physicochemical property modulation, in silico modeling, and structural modification.
Topics: Animals; ATP Binding Cassette Transporter, Subfamily B, Member 11; ATP-Binding Cassette Transporters; Bile Acids and Salts; Cell Line; Chemical and Drug Induced Liver Injury; Humans; Quantitative Structure-Activity Relationship | 2012 |
Discovery and characterization of novel, potent, and selective cytochrome P450 2J2 inhibitors.
Topics: Chromatography, High Pressure Liquid; Cytochrome P-450 CYP2J2; Cytochrome P-450 Enzyme Inhibitors; Cytochrome P-450 Enzyme System; Drug Discovery; Enzyme Inhibitors; Humans; Inhibitory Concentration 50; Kinetics; Microsomes, Liver; Models, Molecular; Molecular Dynamics Simulation; Substrate Specificity | 2013 |
Second generation of diazachrysenes: Protection of Ebola virus infected mice and mechanism of action.
Topics: Animals; Antiviral Agents; Chrysenes; Ebolavirus; Hemorrhagic Fever, Ebola; Lysosomes; Mice; Surface-Active Agents; Virus Internalization; Zebrafish | 2019 |
Sudden chest pain with sertraline.
Topics: 1-Naphthylamine; Antidepressive Agents; Aspirin; Chest Pain; Coronary Disease; Depression; Humans; Male; Middle Aged; Nortriptyline; Propranolol; Sertraline | 1994 |
Penicillin G as a novel chiral selector in capillary electrophoresis.
Topics: Anti-Bacterial Agents; Benzofurans; Citalopram; Electrophoresis, Capillary; Hydrogen-Ion Concentration; Methanol; Metoprolol; Penicillin G; Propranolol; Pyrrolidines; Sertraline; Solubility; Stereoisomerism; Temperature | 2014 |
Toxicity screening of diclofenac, propranolol, sertraline and simvastatin using Danio rerio and Paracentrotus lividus embryo bioassays.
Topics: Animals; Biological Assay; Diclofenac; Ecotoxicology; Embryo, Nonmammalian; Paracentrotus; Propranolol; Risk Assessment; Sensitivity and Specificity; Sertraline; Simvastatin; Toxicity Tests; Water Pollutants, Chemical; Zebrafish | 2015 |
Sorption and desorption of selected pharmaceuticals by polyethylene microplastics.
Topics: Hydrophobic and Hydrophilic Interactions; Kinetics; Pharmaceutical Preparations; Plastics; Polyethylene; Propranolol; Sertraline; Static Electricity; Sulfamethoxazole; Water Pollutants, Chemical | 2018 |
Sorption of selected pharmaceutical compounds on polyethylene microplastics: Roles of pH, aging, and competitive sorption.
Topics: Adsorption; Hydrogen-Ion Concentration; Microplastics; Pharmaceutical Preparations; Plastics; Polyethylene; Propranolol; Sertraline; Sulfamethoxazole; Water Pollutants, Chemical | 2022 |