maprotiline and mibefradil

maprotiline has been researched along with mibefradil in 8 studies

Research

Studies (8)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's4 (50.00)29.6817
2010's4 (50.00)24.3611
2020's0 (0.00)2.80

Authors

AuthorsStudies
Topliss, JG; Yoshida, F1
Bacsó, Z; Cianfriglia, M; Fenyvesi, F; Goda, K; Kappelmayer, J; Lustyik, G; Nagy, H; Szabó, G; Szilasi, M1
Bleich, S; Gulbins, E; Kornhuber, J; Reichel, M; Terfloth, L; Tripal, P; Wiltfang, J1
Lombardo, F; Obach, RS; Waters, NJ1
Fisk, L; Greene, N; Naven, RT; Note, RR; Patel, ML; Pelletier, DJ1
Afshari, CA; Eschenberg, M; Hamadeh, HK; Lee, PH; Lightfoot-Dunn, R; Morgan, RE; Qualls, CW; Ramachandran, B; Trauner, M; van Staden, CJ1
Ekins, S; Williams, AJ; Xu, JJ1
Fijorek, K; Glinka, A; Mendyk, A; Polak, S; Wiśniowska, B1

Other Studies

8 other study(ies) available for maprotiline and mibefradil

ArticleYear
QSAR model for drug human oral bioavailability.
    Journal of medicinal chemistry, 2000, Jun-29, Volume: 43, Issue:13

    Topics: Administration, Oral; Biological Availability; Humans; Models, Biological; Models, Molecular; Pharmaceutical Preparations; Pharmacokinetics; Structure-Activity Relationship

2000
Distinct groups of multidrug resistance modulating agents are distinguished by competition of P-glycoprotein-specific antibodies.
    Biochemical and biophysical research communications, 2004, Mar-19, Volume: 315, Issue:4

    Topics: Adenosine Triphosphatases; Animals; Anti-Bacterial Agents; Antibodies, Monoclonal; Antineoplastic Agents; ATP Binding Cassette Transporter, Subfamily B, Member 1; Binding, Competitive; Calcium Channel Blockers; Cyclosporine; Detergents; Drug Resistance, Multiple; Drug Resistance, Neoplasm; Flow Cytometry; Fluoresceins; Humans; Ivermectin; Mice; NIH 3T3 Cells; Substrate Specificity

2004
Identification of new functional inhibitors of acid sphingomyelinase using a structure-property-activity relation model.
    Journal of medicinal chemistry, 2008, Jan-24, Volume: 51, Issue:2

    Topics: Algorithms; Animals; Cell Line; Cell Line, Tumor; Chemical Phenomena; Chemistry, Physical; Enzyme Inhibitors; Humans; Hydrogen-Ion Concentration; Molecular Conformation; Quantitative Structure-Activity Relationship; Rats; Sphingomyelin Phosphodiesterase

2008
Trend analysis of a database of intravenous pharmacokinetic parameters in humans for 670 drug compounds.
    Drug metabolism and disposition: the biological fate of chemicals, 2008, Volume: 36, Issue:7

    Topics: Blood Proteins; Half-Life; Humans; Hydrogen Bonding; Infusions, Intravenous; Pharmacokinetics; Protein Binding

2008
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
Interference with bile salt export pump function is a susceptibility factor for human liver injury in drug development.
    Toxicological sciences : an official journal of the Society of Toxicology, 2010, Volume: 118, Issue:2

    Topics: Animals; ATP Binding Cassette Transporter, Subfamily B, Member 11; ATP-Binding Cassette Transporters; Biological Assay; Biological Transport; Cell Line; Cell Membrane; Chemical and Drug Induced Liver Injury; Cytoplasmic Vesicles; Drug Evaluation, Preclinical; Humans; Liver; Rats; Reproducibility of Results; Spodoptera; Transfection; Xenobiotics

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
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