Compounds > sotalol
Page last updated: 2024-08-16

sotalol and fluvoxamine

sotalol has been researched along with fluvoxamine in 8 studies

Research

Studies (8)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's2 (25.00)29.6817
2010's6 (75.00)24.3611
2020's0 (0.00)2.80

Authors

AuthorsStudies
Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL1
Barnes, JC; Bradley, P; Day, NC; Fourches, D; Reed, JZ; Tropsha, A1
Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM1
Glen, RC; Lowe, R; Mitchell, JB1
Artursson, P; Haglund, U; Karlgren, M; Kimoto, E; Lai, Y; Norinder, U; Vildhede, A; Wisniewski, JR1
Fijorek, K; Glinka, A; Mendyk, A; Polak, S; Wiśniowska, B1
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, EY1
Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K1

Reviews

1 review(s) available for sotalol and fluvoxamine

ArticleYear
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

7 other study(ies) available for sotalol and fluvoxamine

ArticleYear
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
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
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
Classification of inhibitors of hepatic organic anion transporting polypeptides (OATPs): influence of protein expression on drug-drug interactions.
    Journal of medicinal chemistry, 2012, May-24, Volume: 55, Issue:10

    Topics: Atorvastatin; Biological Transport; Drug Interactions; Estradiol; Estrone; HEK293 Cells; Heptanoic Acids; Humans; Hydroxymethylglutaryl-CoA Reductase Inhibitors; In Vitro Techniques; Least-Squares Analysis; Liver; Liver-Specific Organic Anion Transporter 1; Models, Molecular; Multivariate Analysis; Organic Anion Transporters; Organic Anion Transporters, Sodium-Independent; Protein Isoforms; Pyrroles; Solute Carrier Organic Anion Transporter Family Member 1B3; Structure-Activity Relationship; Transfection

2012
Predictive model for L-type channel inhibition: multichannel block in QT prolongation risk assessment.
    Journal of applied toxicology : JAT, 2012, Volume: 32, Issue:10

    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.
    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