bepridil and sufentanil

bepridil has been researched along with sufentanil in 2 studies

Research

Studies (2)

Timeframe	Studies, this research(%)	All Research%
pre-1990	0 (0.00)	18.7374
1990's	0 (0.00)	18.2507
2000's	2 (100.00)	29.6817
2010's	0 (0.00)	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

Other Studies

2 other study(ies) available for bepridil and sufentanil

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

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