Compounds > fluoxetine

fluoxetine and vinorelbine

fluoxetine has been researched along with vinorelbine in 6 studies

Research

Studies (6)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's1 (16.67)29.6817
2010's5 (83.33)24.3611
2020's0 (0.00)2.80

Authors

AuthorsStudies
Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL1
Barnes, JC; Bradley, P; Day, NC; Fourches, D; Reed, JZ; Tropsha, A1
García-Mera, X; González-Díaz, H; Prado-Prado, FJ1
Ang, KK; Arkin, MR; Chen, S; Doyle, PS; Engel, JC; McKerrow, JH1
Chen, X; Lin, X; Skolnik, S; Wang, J1
Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K1

Reviews

1 review(s) available for fluoxetine and vinorelbine

ArticleYear
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

5 other study(ies) available for fluoxetine and vinorelbine

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
Multi-target spectral moment QSAR versus ANN for antiparasitic drugs against different parasite species.
    Bioorganic & medicinal chemistry, 2010, Mar-15, Volume: 18, Issue:6

    Topics: Antiparasitic Agents; Molecular Structure; Neural Networks, Computer; Parasitic Diseases; Quantitative Structure-Activity Relationship; Species Specificity; Thermodynamics

2010
Image-based high-throughput drug screening targeting the intracellular stage of Trypanosoma cruzi, the agent of Chagas' disease.
    Antimicrobial agents and chemotherapy, 2010, Volume: 54, Issue:8

    Topics: Animals; Cattle; Cell Line; Cell Line, Tumor; Chagas Disease; Drug Evaluation, Preclinical; Hepatocytes; High-Throughput Screening Assays; Humans; Image Processing, Computer-Assisted; Muscle, Skeletal; Parasitic Sensitivity Tests; Trypanocidal Agents; Trypanosoma cruzi

2010
Attenuation of intestinal absorption by major efflux transporters: quantitative tools and strategies using a Caco-2 model.
    Drug metabolism and disposition: the biological fate of chemicals, 2011, Volume: 39, Issue:2

    Topics: Adenosine; ATP Binding Cassette Transporter, Subfamily B; ATP Binding Cassette Transporter, Subfamily G, Member 2; ATP-Binding Cassette Sub-Family B Member 4; ATP-Binding Cassette Transporters; Biological Transport; Caco-2 Cells; Chromatography, Liquid; Dibenzocycloheptenes; Diketopiperazines; Drug Discovery; Heterocyclic Compounds, 4 or More Rings; Humans; Intestinal Absorption; Mass Spectrometry; Models, Biological; Neoplasm Proteins; Pharmaceutical Preparations; Predictive Value of Tests; Propionates; Quinolines; Substrate Specificity

2011