cisapride has been researched along with diclofenac in 8 studies
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 0 (0.00) | 18.7374 |
1990's | 0 (0.00) | 18.2507 |
2000's | 2 (25.00) | 29.6817 |
2010's | 6 (75.00) | 24.3611 |
2020's | 0 (0.00) | 2.80 |
Authors | Studies |
---|---|
Topliss, JG; Yoshida, F | 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 |
Fisk, L; Greene, N; Naven, RT; Note, RR; Patel, ML; Pelletier, DJ | 1 |
Ekins, S; Williams, AJ; Xu, JJ | 1 |
Annand, R; Gozalbes, R; Jacewicz, M; Pineda-Lucena, A; Tsaioun, K | 1 |
Fijorek, K; Glinka, A; Mendyk, A; Polak, S; Wiśniowska, B | 1 |
Ambroso, JL; Ayrton, AD; Baines, IA; Bloomer, JC; Chen, L; Clarke, SE; Ellens, HM; Harrell, AW; Lovatt, CA; Reese, MJ; Sakatis, MZ; Taylor, MA; Yang, EY | 1 |
8 other study(ies) available for cisapride and diclofenac
Article | Year |
---|---|
QSAR model for drug human oral bioavailability.
Topics: Administration, Oral; Biological Availability; Humans; Models, Biological; Models, Molecular; Pharmaceutical Preparations; Pharmacokinetics; Structure-Activity Relationship | 2000 |
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 |
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 |
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 |
Predictive model for L-type channel inhibition: multichannel block in QT prolongation risk assessment.
Topics: Artificial Intelligence; Calcium Channel Blockers; Calcium Channels, L-Type; Cell Line; Computational Biology; Computer Simulation; Drugs, Investigational; Ether-A-Go-Go Potassium Channels; Expert Systems; Heart Rate; Humans; Models, Biological; Myocytes, Cardiac; NAV1.5 Voltage-Gated Sodium Channel; Potassium Channel Blockers; Quantitative Structure-Activity Relationship; Risk Assessment; Shaker Superfamily of Potassium Channels; Torsades de Pointes; Voltage-Gated Sodium Channel Blockers | 2012 |
Preclinical strategy to reduce clinical hepatotoxicity using in vitro bioactivation data for >200 compounds.
Topics: Chemical and Drug Induced Liver Injury; Cytochrome P-450 Enzyme Inhibitors; Cytochrome P-450 Enzyme System; Decision Trees; Drug Evaluation, Preclinical; Drug-Related Side Effects and Adverse Reactions; Glutathione; Humans; Liver; Pharmaceutical Preparations; Protein Binding | 2012 |