methyldopa has been researched along with terbutaline in 16 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 1 (6.25) | 18.7374 |
| 1990's | 1 (6.25) | 18.2507 |
| 2000's | 5 (31.25) | 29.6817 |
| 2010's | 9 (56.25) | 24.3611 |
| 2020's | 0 (0.00) | 2.80 |
| Authors | Studies |
|---|---|
| Ax, F; Bonham, NM; Hallberg, A; Karlén, A; Lennernäs, H; Winiwarter, S | 1 |
| Lombardo, F; Obach, RS; Waters, NJ | 1 |
| Ahlin, G; Artursson, P; Bergström, CA; Gustavsson, L; Karlsson, J; Larsson, R; Matsson, P; Norinder, U; Pedersen, JM | 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 |
| Barnes, JC; Bradley, P; Day, NC; Fourches, D; Reed, JZ; Tropsha, A | 1 |
| Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM | 1 |
| Campillo, NE; Guerra, A; Páez, JA | 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 |
| Avdeef, A; Tam, KY | 1 |
| Bellera, CL; Bruno-Blanch, LE; Castro, EA; Duchowicz, PR; Goodarzi, M; Ortiz, EV; Pesce, G; Talevi, A | 1 |
| Annand, R; Gozalbes, R; Jacewicz, M; Pineda-Lucena, A; Tsaioun, K | 1 |
| Bellman, K; Knegtel, RM; Settimo, L | 1 |
| Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
| Hansteen, V | 1 |
1 review(s) available for methyldopa and terbutaline
| 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 |
1 trial(s) available for methyldopa and terbutaline
| Article | Year |
|---|---|
Medical treatment in Raynaud's disease.
Topics: Clinical Trials as Topic; Drug Evaluation; Humans; Methyldopa; Raynaud Disease; Smoking; Terbutaline; Vasodilator Agents | 1976 |
14 other study(ies) available for methyldopa and terbutaline
| Article | Year |
|---|---|
Correlation of human jejunal permeability (in vivo) of drugs with experimentally and theoretically derived parameters. A multivariate data analysis approach.
Topics: Humans; Intestinal Absorption; Jejunum; Models, Biological; Multivariate Analysis; Permeability; Pharmaceutical Preparations; Structure-Activity Relationship | 1998 |
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 |
Structural requirements for drug inhibition of the liver specific human organic cation transport protein 1.
Topics: Cell Line; Computer Simulation; Drug Design; Gene Expression Profiling; Humans; Hydrogen Bonding; Liver; Molecular Weight; Organic Cation Transporter 1; Pharmaceutical Preparations; Predictive Value of Tests; Reverse Transcriptase Polymerase Chain Reaction; RNA, Messenger; Structure-Activity Relationship | 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 |
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 |
Development of a phospholipidosis database and predictive quantitative structure-activity relationship (QSAR) models.
Topics: | 2008 |
Neural computational prediction of oral drug absorption based on CODES 2D descriptors.
Topics: Administration, Oral; Humans; Models, Chemical; Neural Networks, Computer; Permeability; Quantitative Structure-Activity Relationship; Technology, Pharmaceutical | 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 |
How well can the Caco-2/Madin-Darby canine kidney models predict effective human jejunal permeability?
Topics: Animals; Disease Models, Animal; Dogs; Humans; Jejunal Diseases; Kidney Diseases; Models, Biological; Permeability; Porosity; Regression Analysis | 2010 |
Prediction of drug intestinal absorption by new linear and non-linear QSPR.
Topics: Humans; Intestinal Absorption; Linear Models; Molecular Conformation; Nonlinear Dynamics; Permeability; Pharmaceutical Preparations; Probability; Quantitative Structure-Activity Relationship; Thermodynamics | 2011 |
QSAR-based permeability model for drug-like compounds.
Topics: Caco-2 Cells; Cell Membrane Permeability; Drug Discovery; Humans; Pharmaceutical Preparations; Pharmacokinetics; Quantitative Structure-Activity Relationship | 2011 |
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 |