bepridil and azelastine

bepridil has been researched along with azelastine in 3 studies

Research

Studies (3)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's2 (66.67)29.6817
2010's1 (33.33)24.3611
2020's0 (0.00)2.80

Authors

AuthorsStudies
Cianchetta, G; Cruciani, G; Fravolini, A; Giesing, D; Singleton, RW; Vaz, RJ; Wildgoose, M; Zhang, M1
Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL1
Fijorek, K; Glinka, A; Mendyk, A; Polak, S; Wiśniowska, B1

Other Studies

3 other study(ies) available for bepridil and azelastine

ArticleYear
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
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