bumetanide has been researched along with tryptophan in 5 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 3 (60.00) | 29.6817 |
| 2010's | 2 (40.00) | 24.3611 |
| 2020's | 0 (0.00) | 2.80 |
| Authors | Studies |
|---|---|
| Strassburg, CP; Tukey, RH | 1 |
| Bellman, K; Knegtel, RM; Settimo, L | 1 |
| Alvarez-Pedraglio, A; Colmenarejo, G; Lavandera, JL | 1 |
| Bellows, DS; Clarke, ID; Diamandis, P; Dirks, PB; Graham, J; Jamieson, LG; Ling, EK; Sacher, AG; Tyers, M; Ward, RJ; Wildenhain, J | 1 |
| Barnes, JC; Bradley, P; Day, NC; Fourches, D; Reed, JZ; Tropsha, A | 1 |
1 review(s) available for bumetanide and tryptophan
| Article | Year |
|---|---|
Human UDP-glucuronosyltransferases: metabolism, expression, and disease.
Topics: Autoimmunity; Chromosome Mapping; Glucuronides; Glucuronosyltransferase; Humans; Hyperbilirubinemia; Neoplasms; Steroids; Terminology as Topic | 2000 |
4 other study(ies) available for bumetanide and tryptophan
| Article | Year |
|---|---|
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 |
Cheminformatic models to predict binding affinities to human serum albumin.
Topics: Adrenergic beta-Antagonists; Antidepressive Agents, Tricyclic; Chromatography, Affinity; Cyclooxygenase Inhibitors; Databases, Factual; Humans; Hydrophobic and Hydrophilic Interactions; Penicillins; Pharmaceutical Preparations; Protein Binding; Quantitative Structure-Activity Relationship; Reproducibility of Results; Serum Albumin; Steroids | 2001 |
Chemical genetics reveals a complex functional ground state of neural stem cells.
Topics: Animals; Cell Survival; Cells, Cultured; Mice; Molecular Structure; Neoplasms; Neurons; Pharmaceutical Preparations; Sensitivity and Specificity; Stem Cells | 2007 |
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 |