Compounds > amiodarone

amiodarone and ly 163892

amiodarone has been researched along with ly 163892 in 6 studies

Research

Studies (6)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's1 (16.67)29.6817
2010's5 (83.33)24.3611
2020's0 (0.00)2.80

Authors

AuthorsStudies
Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL1
García-Mera, X; González-Díaz, H; Prado-Prado, FJ1
Fisk, L; Greene, N; Naven, RT; Note, RR; Patel, ML; Pelletier, DJ1
Ekins, S; Williams, AJ; Xu, JJ1
Annand, R; Gozalbes, R; Jacewicz, M; Pineda-Lucena, A; Tsaioun, K1
Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K1

Reviews

1 review(s) available for amiodarone and ly 163892

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

5 other study(ies) available for amiodarone and ly 163892

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
Multi-target spectral moment QSAR versus ANN for antiparasitic drugs against different parasite species.
    Bioorganic & medicinal chemistry, 2010, Mar-15, Volume: 18, Issue:6

    Topics: Antiparasitic Agents; Molecular Structure; Neural Networks, Computer; Parasitic Diseases; Quantitative Structure-Activity Relationship; Species Specificity; Thermodynamics

2010
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
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
QSAR-based permeability model for drug-like compounds.
    Bioorganic & medicinal chemistry, 2011, Apr-15, Volume: 19, Issue:8

    Topics: Caco-2 Cells; Cell Membrane Permeability; Drug Discovery; Humans; Pharmaceutical Preparations; Pharmacokinetics; Quantitative Structure-Activity Relationship

2011