theophylline has been researched along with amlodipine in 18 studies
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 0 (0.00) | 18.7374 |
1990's | 0 (0.00) | 18.2507 |
2000's | 7 (38.89) | 29.6817 |
2010's | 11 (61.11) | 24.3611 |
2020's | 0 (0.00) | 2.80 |
Authors | Studies |
---|---|
Topliss, JG; Yoshida, F | 1 |
Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL | 1 |
Lombardo, F; Obach, RS; Waters, NJ | 1 |
González-Díaz, H; Orallo, F; Quezada, E; Santana, L; Uriarte, E; Viña, D; Yáñez, M | 1 |
Chupka, J; El-Kattan, A; Feng, B; Miller, HR; Obach, RS; Troutman, MD; Varma, MV | 1 |
Chen, L; He, Z; Li, H; Liu, J; Liu, X; Sui, X; Sun, J; Wang, Y; Zhang, W | 1 |
Barnes, JC; Bradley, P; Day, NC; Fourches, D; Reed, JZ; Tropsha, A | 1 |
Chang, G; El-Kattan, A; Miller, HR; Obach, RS; Rotter, C; Steyn, SJ; Troutman, MD; Varma, MV | 1 |
García-Mera, X; González-Díaz, H; Prado-Prado, FJ | 1 |
Ambroso, JL; Ayrton, AD; Baines, IA; Bloomer, JC; Chen, L; Clarke, SE; Ellens, HM; Harrell, AW; Lovatt, CA; Reese, MJ; Sakatis, MZ; Taylor, MA; Yang, EY | 1 |
Afshari, CA; Chen, Y; Dunn, RT; Hamadeh, HK; Kalanzi, J; Kalyanaraman, N; Morgan, RE; van Staden, CJ | 1 |
Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
Cho, YS; Hwang, EM; Jung, SY; Lim, SM; Min, SJ; Pae, AN; Park, KD; Viswanath, AN | 1 |
Asanuma, H; Fujita, M; Hirata, A; Hori, M; Kim, J; Kitakaze, M; Minamino, T; Node, K; Ogai, A; Ogita, H; Sanada, S; Tomoike, H; Tsukamoto, O | 1 |
Koradia, V; Lehto, VP; Lopez de Diego, H; Møller-Sonnergaard, J; Rantanen, J; Ringkjøbing-Elema, M; Salonen, J; Tenho, M | 1 |
Cornett, C; Raijada, D; Rantanen, J | 1 |
Chang, SY; Gong, X; Osei-Yeboah, F; Paul, S; Perumalla, SR; Shi, L; Sun, CC; Sun, WJ; Zhou, Q | 1 |
Borek-Dohalska, L; Fojtikova, V; Martinkova, M; Mináriková, M; Sedláček, J; Šikut, M; Stiborová, M; Vyskočilová, E | 1 |
1 review(s) available for theophylline and amlodipine
Article | Year |
---|---|
DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans.
Topics: Chemical and Drug Induced Liver Injury; Databases, Factual; Drug Labeling; Humans; Pharmaceutical Preparations; Risk | 2016 |
17 other study(ies) available for theophylline and amlodipine
Article | Year |
---|---|
QSAR model for drug human oral bioavailability.
Topics: Administration, Oral; Biological Availability; Humans; Models, Biological; Models, Molecular; Pharmaceutical Preparations; Pharmacokinetics; Structure-Activity Relationship | 2000 |
Assessment of the health effects of chemicals in humans: II. Construction of an adverse effects database for QSAR modeling.
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 |
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 |
Quantitative structure-activity relationship and complex network approach to monoamine oxidase A and B inhibitors.
Topics: Computational Biology; Drug Design; Humans; Isoenzymes; Molecular Structure; Monoamine Oxidase; Monoamine Oxidase Inhibitors; Quantitative Structure-Activity Relationship | 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 |
Prediction of volume of distribution values in human using immobilized artificial membrane partitioning coefficients, the fraction of compound ionized and plasma protein binding data.
Topics: Blood Proteins; Chemistry, Physical; Computer Simulation; Humans; Membranes, Artificial; Models, Biological; Pharmaceutical Preparations; Protein Binding; Tissue Distribution | 2009 |
Cheminformatics analysis of assertions mined from literature that describe drug-induced liver injury in different species.
Topics: Animals; Chemical and Drug Induced Liver Injury; Cluster Analysis; Databases, Factual; Humans; MEDLINE; Mice; Models, Chemical; Molecular Conformation; Quantitative Structure-Activity Relationship | 2010 |
Physicochemical space for optimum oral bioavailability: contribution of human intestinal absorption and first-pass elimination.
Topics: Administration, Oral; Biological Availability; Humans; Intestinal Absorption; Pharmaceutical Preparations | 2010 |
Multi-target spectral moment QSAR versus ANN for antiparasitic drugs against different parasite species.
Topics: Antiparasitic Agents; Molecular Structure; Neural Networks, Computer; Parasitic Diseases; Quantitative Structure-Activity Relationship; Species Specificity; Thermodynamics | 2010 |
Preclinical strategy to reduce clinical hepatotoxicity using in vitro bioactivation data for >200 compounds.
Topics: Chemical and Drug Induced Liver Injury; Cytochrome P-450 Enzyme Inhibitors; Cytochrome P-450 Enzyme System; Decision Trees; Drug Evaluation, Preclinical; Drug-Related Side Effects and Adverse Reactions; Glutathione; Humans; Liver; Pharmaceutical Preparations; Protein Binding | 2012 |
A multifactorial approach to hepatobiliary transporter assessment enables improved therapeutic compound development.
Topics: Animals; ATP Binding Cassette Transporter, Subfamily B; ATP Binding Cassette Transporter, Subfamily B, Member 11; ATP-Binding Cassette Transporters; Biological Transport; Chemical and Drug Induced Liver Injury; Cluster Analysis; Drug-Related Side Effects and Adverse Reactions; Humans; Liver; Male; Multidrug Resistance-Associated Proteins; Pharmacokinetics; Rats; Rats, Sprague-Dawley; Recombinant Proteins; Risk Assessment; Risk Factors; Toxicity Tests | 2013 |
Identification of the first in silico-designed TREK1 antagonists that block channel currents dose dependently.
Topics: Animals; Computer Simulation; Crystallography, X-Ray; Dose-Response Relationship, Drug; HEK293 Cells; Humans; Mice; Mice, Knockout; Molecular Docking Simulation; Potassium Channels, Tandem Pore Domain | 2016 |
A calcium channel blocker amlodipine increases coronary blood flow via both adenosine- and NO-dependent mechanisms in ischemic hearts.
Topics: Adenosine; Amlodipine; Animals; Calcium Channel Blockers; Coronary Circulation; Coronary Vessels; Dogs; Myocardial Ischemia; Myocardium; NG-Nitroarginine Methyl Ester; Nitric Oxide; Superoxide Dismutase; Theophylline; Vasodilator Agents | 2005 |
Investigation of solid phase composition on tablet surfaces by grazing incidence X-ray diffraction.
Topics: Amlodipine; Compressive Strength; Crystallization; Nitrofurantoin; Pressure; Surface Properties; Tablets; Theophylline; X-Ray Diffraction | 2012 |
A high throughput platform for understanding the influence of excipients on physical and chemical stability.
Topics: Amlodipine; Chemistry, Pharmaceutical; Chromatography, High Pressure Liquid; Drug Stability; Excipients; Naproxen; Nitrofurantoin; Powder Diffraction; Theophylline; Water; X-Ray Diffraction | 2013 |
Dependence of tablet brittleness on tensile strength and porosity.
Topics: Amlodipine; Cellulose; Drugs, Chinese Herbal; Glyburide; Ibuprofen; Porosity; Powders; Salvia miltiorrhiza; Sildenafil Citrate; Silicon Dioxide; Stearic Acids; Tablets; Tensile Strength; Theophylline | 2015 |
The capacity and effectiveness of diosmectite and charcoal in trapping the compounds causing the most frequent intoxications in acute medicine: A comparative study.
Topics: Adsorption; Alpha-Amanitin; Amlodipine; Antidotes; Aspirin; Carbamazepine; Charcoal; Digoxin; Ibuprofen; Imipramine; Oxazepam; Phenobarbital; Poisoning; Promethazine; Silicates; Theophylline | 2017 |