citalopram and azelastine

citalopram has been researched along with azelastine in 6 studies

Research

Studies (6)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's3 (50.00)29.6817
2010's3 (50.00)24.3611
2020's0 (0.00)2.80

Authors

AuthorsStudies
Gao, F; Lombardo, F; Obach, RS; Shalaeva, MY1
Lombardo, F; Obach, RS; Waters, NJ1
Chupka, J; El-Kattan, A; Feng, B; Miller, HR; Obach, RS; Troutman, MD; Varma, MV1
Chang, G; Di, L; Huang, Y; Lin, Z; Liston, TE; Scott, DO; Troutman, MD; Umland, JP1
Fijorek, K; Glinka, A; Mendyk, A; Polak, S; Wiśniowska, B1
Bellman, K; Knegtel, RM; Settimo, L1

Other Studies

6 other study(ies) available for citalopram and azelastine

ArticleYear
Prediction of human volume of distribution values for neutral and basic drugs. 2. Extended data set and leave-class-out statistics.
    Journal of medicinal chemistry, 2004, Feb-26, Volume: 47, Issue:5

    Topics: Algorithms; Blood Proteins; Half-Life; Humans; Hydrogen-Ion Concentration; Models, Biological; Pharmaceutical Preparations; Pharmacokinetics; Protein Binding; Statistics as Topic; Tissue Distribution

2004
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
Physicochemical determinants of human renal clearance.
    Journal of medicinal chemistry, 2009, Aug-13, Volume: 52, Issue:15

    Topics: Humans; Hydrogen Bonding; Hydrogen-Ion Concentration; Hydrophobic and Hydrophilic Interactions; Kidney; Metabolic Clearance Rate; Molecular Weight

2009
Species independence in brain tissue binding using brain homogenates.
    Drug metabolism and disposition: the biological fate of chemicals, 2011, Volume: 39, Issue:7

    Topics: Animals; Brain; Dogs; Guinea Pigs; Humans; Macaca fascicularis; Mice; Rats; Species Specificity

2011
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
Comparison of the accuracy of experimental and predicted pKa values of basic and acidic compounds.
    Pharmaceutical research, 2014, Volume: 31, Issue:4

    Topics: Chemistry, Pharmaceutical; Forecasting; Hydrogen-Ion Concentration; Pharmaceutical Preparations; Random Allocation

2014