diflunisal and tamoxifen

diflunisal has been researched along with tamoxifen in 9 studies

Research

Studies (9)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's2 (22.22)29.6817
2010's7 (77.78)24.3611
2020's0 (0.00)2.80

Authors

AuthorsStudies
Chang, TK; Ensom, MH; Kiang, TK1
Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL1
Barnes, JC; Bradley, P; Day, NC; Fourches, D; Reed, JZ; Tropsha, A1
Fisk, L; Greene, N; Naven, RT; Note, RR; Patel, ML; Pelletier, DJ1
Glen, RC; Lowe, R; Mitchell, JB1
Ekins, S; Williams, AJ; Xu, JJ1
Buttar, D; Colclough, N; Gerhardt, S; MacFaul, PA; Maskos, K; Phillips, SD; Plowright, A; Steinbacher, S; Steuber, H; Tam, K; Whittamore, P1
Bellman, K; Knegtel, RM; Settimo, L1
Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K1

Reviews

2 review(s) available for diflunisal and tamoxifen

ArticleYear
UDP-glucuronosyltransferases and clinical drug-drug interactions.
    Pharmacology & therapeutics, 2005, Volume: 106, Issue:1

    Topics: Clinical Trials as Topic; Drug Interactions; Enzyme Activation; Enzyme Induction; Glucuronides; Glucuronosyltransferase; Humans; Pharmaceutical Preparations; Pharmacogenetics; Polymorphism, Genetic

2005
DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans.
    Drug discovery today, 2016, Volume: 21, Issue:4

    Topics: Chemical and Drug Induced Liver Injury; Databases, Factual; Drug Labeling; Humans; Pharmaceutical Preparations; Risk

2016

Other Studies

7 other study(ies) available for diflunisal and tamoxifen

ArticleYear
Assessment of the health effects of chemicals in humans: II. Construction of an adverse effects database for QSAR modeling.
    Current drug discovery technologies, 2004, Volume: 1, Issue:4

    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.
    Chemical research in toxicology, 2010, Volume: 23, Issue:1

    Topics: Animals; Chemical and Drug Induced Liver Injury; Cluster Analysis; Databases, Factual; Humans; MEDLINE; Mice; Models, Chemical; Molecular Conformation; Quantitative Structure-Activity Relationship

2010
Developing structure-activity relationships for the prediction of hepatotoxicity.
    Chemical research in toxicology, 2010, Jul-19, Volume: 23, Issue:7

    Topics: Chemical and Drug Induced Liver Injury; Databases, Factual; Humans; Structure-Activity Relationship; Tetracyclines; Thiophenes

2010
Predicting phospholipidosis using machine learning.
    Molecular pharmaceutics, 2010, Oct-04, Volume: 7, Issue:5

    Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine

2010
A predictive ligand-based Bayesian model for human drug-induced liver injury.
    Drug metabolism and disposition: the biological fate of chemicals, 2010, Volume: 38, Issue:12

    Topics: Bayes Theorem; Chemical and Drug Induced Liver Injury; Humans; Ligands

2010
A combined spectroscopic and crystallographic approach to probing drug-human serum albumin interactions.
    Bioorganic & medicinal chemistry, 2010, Nov-01, Volume: 18, Issue:21

    Topics: Binding Sites; Crystallography, X-Ray; Drug Interactions; Humans; Pharmaceutical Preparations; Protein Binding; Protein Structure, Tertiary; Serum Albumin; Spectrometry, Fluorescence

2010
Comparison of the accuracy of experimental and predicted pKa values of basic and acidic compounds.
    Pharmaceutical research, 2014, Volume: 31, Issue:4

    Topics: Chemistry, Pharmaceutical; Forecasting; Hydrogen-Ion Concentration; Pharmaceutical Preparations; Random Allocation

2014