nifedipine has been researched along with fenoprofen 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 | 1 (20.00) | 29.6817 |
2010's | 4 (80.00) | 24.3611 |
2020's | 0 (0.00) | 2.80 |
Authors | Studies |
---|---|
He, Z; Li, H; Liu, J; Liu, X; Sui, X; Sun, J; Sun, Y; Yan, Z | 1 |
Annand, R; Gozalbes, R; Jacewicz, M; Pineda-Lucena, A; Tsaioun, K | 1 |
Chen, M; Fang, H; Liu, Z; Shi, Q; Tong, W; Vijay, V | 1 |
Caradonna, NP; Hallifax, D; Houston, JB; Turlizzi, E; Zanelli, U | 1 |
Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
1 review(s) available for nifedipine and fenoprofen
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 |
4 other study(ies) available for nifedipine and fenoprofen
Article | Year |
---|---|
First-principle, structure-based prediction of hepatic metabolic clearance values in human.
Topics: Computational Biology; Drug Discovery; Hepatocytes; Humans; Hydrogen-Ion Concentration; Liver; Metabolic Clearance Rate; Models, Molecular; Pharmaceutical Preparations; Pharmacokinetics; Quantitative Structure-Activity Relationship; Sensitivity and Specificity; Software | 2009 |
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 |
FDA-approved drug labeling for the study of drug-induced liver injury.
Topics: Animals; Benchmarking; Biomarkers, Pharmacological; Chemical and Drug Induced Liver Injury; Drug Design; Drug Labeling; Drug-Related Side Effects and Adverse Reactions; Humans; Pharmaceutical Preparations; Reproducibility of Results; United States; United States Food and Drug Administration | 2011 |
Comparison of cryopreserved HepaRG cells with cryopreserved human hepatocytes for prediction of clearance for 26 drugs.
Topics: Cell Line, Tumor; Cryopreservation; Female; Hepatocytes; Humans; Male; Metabolic Clearance Rate; Pharmaceutical Preparations; Predictive Value of Tests | 2012 |