azelastine has been researched along with propranolol in 7 studies
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 0 (0.00) | 18.7374 |
1990's | 1 (14.29) | 18.2507 |
2000's | 4 (57.14) | 29.6817 |
2010's | 2 (28.57) | 24.3611 |
2020's | 0 (0.00) | 2.80 |
Authors | Studies |
---|---|
Gao, F; Lombardo, F; Obach, RS; Shalaeva, MY | 2 |
Lombardo, F; Obach, RS; Waters, NJ | 1 |
Chupka, J; El-Kattan, A; Feng, B; Miller, HR; Obach, RS; Troutman, MD; Varma, MV | 1 |
Fijorek, K; Glinka, A; Mendyk, A; Polak, S; Wiśniowska, B | 1 |
Bellman, K; Knegtel, RM; Settimo, L | 1 |
Hamano, S; Ikeda, S; Kikuchi, S; Kojima, M; Komatsu, H; Kusama, H; Okegawa, T; Takehana, Y | 1 |
7 other study(ies) available for azelastine and propranolol
Article | Year |
---|---|
Prediction of volume of distribution values in humans for neutral and basic drugs using physicochemical measurements and plasma protein binding data.
Topics: Blood Proteins; Chemical Phenomena; Chemistry, Physical; Half-Life; Humans; Hydrogen-Ion Concentration; Models, Biological; Pharmaceutical Preparations; Pharmacokinetics; Protein Binding | 2002 |
Prediction of human volume of distribution values for neutral and basic drugs. 2. Extended data set and leave-class-out statistics.
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.
Topics: Blood Proteins; Half-Life; Humans; Hydrogen Bonding; Infusions, Intravenous; Pharmacokinetics; Protein Binding | 2008 |
Physicochemical determinants of human renal clearance.
Topics: Humans; Hydrogen Bonding; Hydrogen-Ion Concentration; Hydrophobic and Hydrophilic Interactions; Kidney; Metabolic Clearance Rate; Molecular Weight | 2009 |
Predictive model for L-type channel inhibition: multichannel block in QT prolongation risk assessment.
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.
Topics: Chemistry, Pharmaceutical; Forecasting; Hydrogen-Ion Concentration; Pharmaceutical Preparations; Random Allocation | 2014 |
Effect of a thromboxane A2 synthetase inhibitor (OKY-046.HCl) on airway hyperresponsiveness in guinea pigs.
Topics: 6-Ketoprostaglandin F1 alpha; Acetylcholine; Airway Resistance; Animals; Antigens; Aspirin; Bronchoalveolar Lavage Fluid; Guinea Pigs; Leukotriene E4; Methacrylates; N-Formylmethionine Leucyl-Phenylalanine; Phthalazines; Physostigmine; Platelet Activating Factor; Propranolol; Respiratory System; SRS-A; Thromboxane B2; Thromboxane-A Synthase | 1990 |