Compounds > amiodarone

amiodarone and sertraline

amiodarone has been researched along with sertraline in 16 studies

Research

Studies (16)

Timeframe	Studies, this research(%)	All Research%
pre-1990	0 (0.00)	18.7374
1990's	1 (6.25)	18.2507
2000's	4 (25.00)	29.6817
2010's	11 (68.75)	24.3611
2020's	0 (0.00)	2.80

Authors

Authors	Studies
Cianchetta, G; Cruciani, G; Fravolini, A; Giesing, D; Singleton, RW; Vaz, RJ; Wildgoose, M; Zhang, M	1
Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL	1
Bleich, S; Gulbins, E; Kornhuber, J; Reichel, M; Terfloth, L; Tripal, P; Wiltfang, J	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
Gozalbes, R; Pineda-Lucena, A	1
Ekins, S; Williams, AJ; Xu, JJ	1
Chen, M; Fang, H; Liu, Z; Shi, Q; Tong, W; Vijay, V	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, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K	1
Carson, WH; DeVane, CL; Gill, HS; Markowitz, JS	1
Fujioka, Y; Hachad, H; Isoherranen, N; Levy, RH; Yeung, CK	1
Chen, Y; Lin, J; Mao, J; Peters, S; Shebley, M; Templeton, IE; Varma, MV; Yu, H	1

Reviews

1 review(s) available for amiodarone and sertraline

Article	Year
DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans. Drug discovery today, 2016, Volume: 21, Issue:4 Topics: Chemical and Drug Induced Liver Injury; Databases, Factual; Drug Labeling; Humans; Pharmaceutical Preparations; Risk	2016

Other Studies

15 other study(ies) available for amiodarone and sertraline

Article	Year
A pharmacophore hypothesis for P-glycoprotein substrate recognition using GRIND-based 3D-QSAR. Journal of medicinal chemistry, 2005, Apr-21, Volume: 48, Issue:8 Topics: ATP Binding Cassette Transporter, Subfamily B, Member 1; Biological Transport; Caco-2 Cells; Fluoresceins; Fluorescent Dyes; Humans; Models, Molecular; Multivariate Analysis; Permeability; Quantitative Structure-Activity Relationship	2005
Assessment of the health effects of chemicals in humans: II. Construction of an adverse effects database for QSAR modeling. Current drug discovery technologies, 2004, Volume: 1, Issue:4 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
Identification of new functional inhibitors of acid sphingomyelinase using a structure-property-activity relation model. Journal of medicinal chemistry, 2008, Jan-24, Volume: 51, Issue:2 Topics: Algorithms; Animals; Cell Line; Cell Line, Tumor; Chemical Phenomena; Chemistry, Physical; Enzyme Inhibitors; Humans; Hydrogen-Ion Concentration; Molecular Conformation; Quantitative Structure-Activity Relationship; Rats; Sphingomyelin Phosphodiesterase	2008
Cheminformatics analysis of assertions mined from literature that describe drug-induced liver injury in different species. Chemical research in toxicology, 2010, Volume: 23, Issue:1 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. Toxicology mechanisms and methods, 2008, Volume: 18, Issue:2-3 Topics:	2008
Developing structure-activity relationships for the prediction of hepatotoxicity. Chemical research in toxicology, 2010, Jul-19, Volume: 23, Issue:7 Topics: Chemical and Drug Induced Liver Injury; Databases, Factual; Humans; Structure-Activity Relationship; Tetracyclines; Thiophenes	2010
Predicting phospholipidosis using machine learning. Molecular pharmaceutics, 2010, Oct-04, Volume: 7, Issue:5 Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine	2010
QSAR-based solubility model for drug-like compounds. Bioorganic & medicinal chemistry, 2010, Oct-01, Volume: 18, Issue:19 Topics: Databases, Factual; Models, Molecular; Pharmaceutical Preparations; Quantitative Structure-Activity Relationship; Solubility; Water	2010
A predictive ligand-based Bayesian model for human drug-induced liver injury. Drug metabolism and disposition: the biological fate of chemicals, 2010, Volume: 38, Issue:12 Topics: Bayes Theorem; Chemical and Drug Induced Liver Injury; Humans; Ligands	2010
FDA-approved drug labeling for the study of drug-induced liver injury. Drug discovery today, 2011, Volume: 16, Issue:15-16 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
Preclinical strategy to reduce clinical hepatotoxicity using in vitro bioactivation data for >200 compounds. Chemical research in toxicology, 2012, Oct-15, Volume: 25, Issue:10 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. Drug metabolism and disposition: the biological fate of chemicals, 2012, Volume: 40, Issue:12 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
Awareness of potential drug interactions may aid avoidance. Therapeutic drug monitoring, 1997, Volume: 19, Issue:3 Topics: 1-Naphthylamine; Amiodarone; Anti-Arrhythmia Agents; Antidepressive Agents; Cytochrome P-450 CYP3A; Cytochrome P-450 Enzyme Inhibitors; Cytochrome P-450 Enzyme System; Depression; Drug Interactions; Humans; Male; Middle Aged; Mixed Function Oxygenases; Sertraline	1997
Are circulating metabolites important in drug-drug interactions?: Quantitative analysis of risk prediction and inhibitory potency. Clinical pharmacology and therapeutics, 2011, Volume: 89, Issue:1 Topics: Algorithms; Amiodarone; Area Under Curve; Biomarkers, Pharmacological; Biotransformation; Bupropion; Cytochrome P-450 Enzyme Inhibitors; Databases, Factual; Drug Interactions; Enzyme Inhibitors; Guidelines as Topic; Humans; Models, Biological; Sertraline; Toxicity Tests; United States; United States Food and Drug Administration	2011
Quantitative Prediction of Drug-Drug Interactions Involving Inhibitory Metabolites in Drug Development: How Can Physiologically Based Pharmacokinetic Modeling Help? CPT: pharmacometrics & systems pharmacology, 2016, Volume: 5, Issue:10 Topics: Amiodarone; Animals; Area Under Curve; Drug Discovery; Drug Interactions; Gemfibrozil; Humans; Models, Biological; Sertraline	2016