ketoprofen has been researched along with ritonavir in 12 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 3 (25.00) | 29.6817 |
| 2010's | 8 (66.67) | 24.3611 |
| 2020's | 1 (8.33) | 2.80 |
| Authors | Studies |
|---|---|
| Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL | 1 |
| Artursson, P; Bergström, CA; Hoogstraate, J; Matsson, P; Norinder, U; Pedersen, JM | 1 |
| He, Z; Li, H; Liu, J; Liu, X; Sui, X; Sun, J; Sun, Y; Yan, Z | 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 |
| Fisk, L; Greene, N; Naven, RT; Note, RR; Patel, ML; Pelletier, DJ | 1 |
| Ekins, S; Williams, AJ; Xu, JJ | 1 |
| Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
| Jadhav, A; Kerns, E; Nguyen, K; Shah, P; Sun, H; Xu, X; Yan, Z; Yu, KR | 1 |
| Kabir, M; Kerns, E; Nguyen, K; Shah, P; Sun, H; Wang, Y; Xu, X; Yu, KR | 1 |
| Kabir, M; Kerns, E; Neyra, J; Nguyen, K; Nguyễn, ÐT; Shah, P; Siramshetty, VB; Southall, N; Williams, J; Xu, X; Yu, KR | 1 |
| Baldelli, F; Cipriani, S; D'Amore, C; Distrutti, E; Fiorucci, S; Francisci, D; Mencarelli, A; Renga, B; Santucci, L | 1 |
1 review(s) available for ketoprofen and ritonavir
| 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 |
11 other study(ies) available for ketoprofen and ritonavir
| Article | Year |
|---|---|
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 |
Prediction and identification of drug interactions with the human ATP-binding cassette transporter multidrug-resistance associated protein 2 (MRP2; ABCC2).
Topics: Administration, Oral; Animals; Antineoplastic Agents; Antipsychotic Agents; Antiviral Agents; ATP Binding Cassette Transporter, Subfamily B; ATP Binding Cassette Transporter, Subfamily B, Member 1; ATP Binding Cassette Transporter, Subfamily G, Member 2; ATP-Binding Cassette Transporters; Biological Transport; Cell Line; Computer Simulation; Cytochrome P-450 Enzyme System; Drug-Related Side Effects and Adverse Reactions; Estradiol; Humans; Insecta; Liver; Models, Molecular; Multidrug Resistance-Associated Protein 2; Multidrug Resistance-Associated Proteins; Neoplasm Proteins; Pharmaceutical Preparations; Pharmacology; Structure-Activity Relationship | 2008 |
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 |
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 |
Developing structure-activity relationships for the prediction of hepatotoxicity.
Topics: Chemical and Drug Induced Liver Injury; Databases, Factual; Humans; Structure-Activity Relationship; Tetracyclines; Thiophenes | 2010 |
A predictive ligand-based Bayesian model for human drug-induced liver injury.
Topics: Bayes Theorem; Chemical and Drug Induced Liver Injury; Humans; Ligands | 2010 |
Highly predictive and interpretable models for PAMPA permeability.
Topics: Artificial Intelligence; Caco-2 Cells; Cell Membrane Permeability; Humans; Models, Biological; Organic Chemicals; Regression Analysis; Support Vector Machine | 2017 |
Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.
Topics: Drug Discovery; Organic Chemicals; Pharmaceutical Preparations; Solubility | 2019 |
Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models.
Topics: Animals; Computer Simulation; Databases, Factual; Drug Discovery; High-Throughput Screening Assays; Liver; Machine Learning; Male; Microsomes, Liver; National Center for Advancing Translational Sciences (U.S.); Pharmaceutical Preparations; Quantitative Structure-Activity Relationship; Rats; Rats, Sprague-Dawley; Retrospective Studies; United States | 2020 |
In vivo administration of ritonavir worsens intestinal damage caused by cyclooxygease inhibitors.
Topics: Alprostadil; Animals; Apoptosis; Aspirin; Chemokine CCL2; Cyclooxygenase Inhibitors; Dinoprostone; Drug Synergism; HIV Protease Inhibitors; HT29 Cells; Humans; Integrin alpha1beta1; Intestinal Mucosa; Intestine, Small; Ketoprofen; Mice; Mice, Inbred C57BL; Misoprostol; Naproxen; Nitric Oxide Synthase Type II; Ritonavir; RNA, Messenger; Tumor Necrosis Factor-alpha | 2014 |