flecainide and piroxicam

flecainide has been researched along with piroxicam in 7 studies

Research

Studies (7)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's1 (14.29)29.6817
2010's6 (85.71)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
Campillo, NE; Guerra, A; Páez, JA1
García-Mera, X; González-Díaz, H; Prado-Prado, FJ1
Glen, RC; Lowe, R; Mitchell, JB1
Chen, L; Fei, J; Mei, Y; Ren, S; Yan, SF; Zeng, J; Zhang, JZ1
Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K1

Reviews

1 review(s) available for flecainide and piroxicam

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

6 other study(ies) available for flecainide and piroxicam

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
Neural computational prediction of oral drug absorption based on CODES 2D descriptors.
    European journal of medicinal chemistry, 2010, Volume: 45, Issue:3

    Topics: Administration, Oral; Humans; Models, Chemical; Neural Networks, Computer; Permeability; Quantitative Structure-Activity Relationship; Technology, Pharmaceutical

2010
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
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
Discovery and characterization of novel, potent, and selective cytochrome P450 2J2 inhibitors.
    Drug metabolism and disposition: the biological fate of chemicals, 2013, Volume: 41, Issue:1

    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