dactinomycin has been researched along with lamivudine in 6 studies
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 0 (0.00) | 18.7374 |
1990's | 0 (0.00) | 18.2507 |
2000's | 2 (33.33) | 29.6817 |
2010's | 4 (66.67) | 24.3611 |
2020's | 0 (0.00) | 2.80 |
Authors | Studies |
---|---|
Akiyama, S; Baba, M; Furukawa, T; Nitanda, T; Okamoto, M; Sugimoto, Y; Wang, X | 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 |
Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
1 review(s) available for dactinomycin and lamivudine
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 |
5 other study(ies) available for dactinomycin and lamivudine
Article | Year |
---|---|
Breast cancer resistance protein (BCRP/ABCG2) induces cellular resistance to HIV-1 nucleoside reverse transcriptase inhibitors.
Topics: Anti-HIV Agents; ATP Binding Cassette Transporter, Subfamily G, Member 2; ATP-Binding Cassette Transporters; CD4-Positive T-Lymphocytes; Cells, Cultured; Doxorubicin; Drug Resistance, Neoplasm; Drug Resistance, Viral; HIV Reverse Transcriptase; HIV-1; Humans; Indoles; Lamivudine; Microbial Sensitivity Tests; Neoplasm Proteins; Reverse Transcriptase Inhibitors; Zidovudine | 2003 |
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 |