tacrine and diflunisal

tacrine has been researched along with diflunisal in 8 studies

Research

Studies (8)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's4 (50.00)29.6817
2010's4 (50.00)24.3611
2020's0 (0.00)2.80

Authors

AuthorsStudies
Topliss, JG; Yoshida, F1
Doman, TN; McGovern, SL; Seidler, J; Shoichet, BK1
Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL1
Lombardo, F; Obach, RS; Waters, NJ1
Fisk, L; Greene, N; Naven, RT; Note, RR; Patel, ML; Pelletier, DJ1
Glen, RC; Lowe, R; Mitchell, JB1
Ekins, S; Williams, AJ; Xu, JJ1
Bellman, K; Knegtel, RM; Settimo, L1

Other Studies

8 other study(ies) available for tacrine and diflunisal

ArticleYear
QSAR model for drug human oral bioavailability.
    Journal of medicinal chemistry, 2000, Jun-29, Volume: 43, Issue:13

    Topics: Administration, Oral; Biological Availability; Humans; Models, Biological; Models, Molecular; Pharmaceutical Preparations; Pharmacokinetics; Structure-Activity Relationship

2000
Identification and prediction of promiscuous aggregating inhibitors among known drugs.
    Journal of medicinal chemistry, 2003, Oct-09, Volume: 46, Issue:21

    Topics: Antifungal Agents; beta-Lactamase Inhibitors; Chemical Phenomena; Chemistry, Physical; Chymotrypsin; Enzyme Inhibitors; Kinetics; Light; Malate Dehydrogenase; Models, Molecular; Molecular Conformation; Scattering, Radiation; Structure-Activity Relationship

2003
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
Trend analysis of a database of intravenous pharmacokinetic parameters in humans for 670 drug compounds.
    Drug metabolism and disposition: the biological fate of chemicals, 2008, Volume: 36, Issue:7

    Topics: Blood Proteins; Half-Life; Humans; Hydrogen Bonding; Infusions, Intravenous; Pharmacokinetics; Protein Binding

2008
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
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