bupropion has been researched along with levofloxacin in 9 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 3 (33.33) | 29.6817 |
| 2010's | 6 (66.67) | 24.3611 |
| 2020's | 0 (0.00) | 2.80 |
| Authors | Studies |
|---|---|
| Alvarez-Pedraglio, A; Colmenarejo, G; Lavandera, JL | 1 |
| Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL | 1 |
| Antonsson, M; Bengtsson, O; Bredberg, U; Fridén, M; Hammarlund-Udenaes, M; Jerndal, G; Wan, H; Winiwarter, S | 1 |
| Barnes, JC; Bradley, P; Day, NC; Fourches, D; Reed, JZ; Tropsha, A | 1 |
| Glen, RC; Lowe, R; Mitchell, JB | 1 |
| Ahlin, G; Bergström, F; Bredberg, U; Fridén, M; Hammarlund-Udenaes, M; Rehngren, M; Wan, H | 1 |
| Cantin, LD; Chen, H; Kenna, JG; Noeske, T; Stahl, S; Walker, CL; Warner, DJ | 1 |
| Bellman, K; Knegtel, RM; Settimo, L | 1 |
| Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
1 review(s) available for bupropion and levofloxacin
| 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 |
8 other study(ies) available for bupropion and levofloxacin
| Article | Year |
|---|---|
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 |
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 |
Structure-brain exposure relationships in rat and human using a novel data set of unbound drug concentrations in brain interstitial and cerebrospinal fluids.
Topics: Animals; Blood-Brain Barrier; Brain; Extracellular Fluid; Humans; Linear Models; Models, Biological; Pharmaceutical Preparations; Pharmacokinetics; Rats; Rats, Sprague-Dawley | 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 |
Predicting phospholipidosis using machine learning.
Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine | 2010 |
Measurement of unbound drug exposure in brain: modeling of pH partitioning explains diverging results between the brain slice and brain homogenate methods.
Topics: Animals; Biological Transport; Brain; Chemical Phenomena; Dialysis; Hydrogen-Ion Concentration; In Vitro Techniques; Lysosomes; Male; Models, Biological; Pharmaceutical Preparations; Pharmacokinetics; Rats; Rats, Sprague-Dawley; Reproducibility of Results; Tissue Distribution | 2011 |
Mitigating the inhibition of human bile salt export pump by drugs: opportunities provided by physicochemical property modulation, in silico modeling, and structural modification.
Topics: Animals; ATP Binding Cassette Transporter, Subfamily B, Member 11; ATP-Binding Cassette Transporters; Bile Acids and Salts; Cell Line; Chemical and Drug Induced Liver Injury; Humans; Quantitative Structure-Activity Relationship | 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 |