ketoprofen has been researched along with hydroxyzine in 10 studies
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 0 (0.00) | 18.7374 |
1990's | 0 (0.00) | 18.2507 |
2000's | 3 (30.00) | 29.6817 |
2010's | 6 (60.00) | 24.3611 |
2020's | 1 (10.00) | 2.80 |
Authors | Studies |
---|---|
Johans, C; Kinnunen, PK; Söderlund, T; Suomalainen, P | 1 |
Caron, G; Ermondi, G | 1 |
Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL | 1 |
Barnes, JC; Bradley, P; Day, NC; Fourches, D; Reed, JZ; Tropsha, A | 1 |
García-Mera, X; González-Díaz, H; Prado-Prado, FJ | 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 |
Benseñor, IM; Bikson, M; Boggio, PS; Brunoni, AR; Caumo, W; Cordeiro, Q; Guarienti, F; Lotufo, PA; Shiozawa, P | 1 |
1 review(s) available for ketoprofen and hydroxyzine
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 ketoprofen and hydroxyzine
Article | Year |
---|---|
Reducing transcranial direct current stimulation-induced erythema with skin pretreatment: considerations for sham-controlled clinical trials.
Topics: Administration, Cutaneous; Adult; Anesthetics, Local; Anti-Inflammatory Agents, Non-Steroidal; Antipruritics; Erythema; Female; Healthy Volunteers; Humans; Hydroxyzine; Ketoprofen; Lidocaine; Male; Surveys and Questionnaires; Time Factors; Transcranial Direct Current Stimulation; Young Adult | 2015 |
8 other study(ies) available for ketoprofen and hydroxyzine
Article | Year |
---|---|
Surface activity profiling of drugs applied to the prediction of blood-brain barrier permeability.
Topics: Blood-Brain Barrier; Lipid Bilayers; Micelles; Permeability; Pharmaceutical Preparations; Structure-Activity Relationship; Surface Properties | 2004 |
Calculating virtual log P in the alkane/water system (log P(N)(alk)) and its derived parameters deltalog P(N)(oct-alk) and log D(pH)(alk).
Topics: 1-Octanol; Alkanes; Hydrogen-Ion Concentration; Least-Squares Analysis; Mathematics; Models, Chemical; Models, Molecular; Solvents; Water | 2005 |
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 |
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 |
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 |
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 |