dactinomycin has been researched along with nimodipine in 8 studies
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 0 (0.00) | 18.7374 |
1990's | 1 (12.50) | 18.2507 |
2000's | 2 (25.00) | 29.6817 |
2010's | 5 (62.50) | 24.3611 |
2020's | 0 (0.00) | 2.80 |
Authors | Studies |
---|---|
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 |
Ghosh, I; Manoharlal, R; Prakash, O; Prasad, R; Puri, N; Sharma, M | 1 |
Ekins, S; Williams, AJ; Xu, JJ | 1 |
Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
Cagnoli, CM; Kharlamov, E; Manev, H; Mason, RP; Uz, T | 1 |
Arias-MontaƱo, JA; Cota, G; Lopez-Santiago, LF; Monjaraz, E; Navarrete, A; Vega, AV | 1 |
1 review(s) available for dactinomycin and nimodipine
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 |
7 other study(ies) available for dactinomycin and nimodipine
Article | Year |
---|---|
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 |
Analysis of physico-chemical properties of substrates of ABC and MFS multidrug transporters of pathogenic Candida albicans.
Topics: Candida albicans; Membrane Transport Proteins; Saccharomyces cerevisiae; Structure-Activity Relationship; Substrate Specificity | 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 |
Characterization of zinc-induced neuronal death in primary cultures of rat cerebellar granule cells.
Topics: 6-Cyano-7-nitroquinoxaline-2,3-dione; Amlodipine; Animals; Apoptosis; Calcium Channel Blockers; Cell Death; Cells, Cultured; Cerebellum; Dactinomycin; Dizocilpine Maleate; DNA Fragmentation; Excitatory Amino Acid Antagonists; Mitochondria; Neurons; Neurotoxins; Nimodipine; Rats; Rats, Sprague-Dawley; Receptors, Metabotropic Glutamate; Time Factors; Zinc | 1997 |
L-type calcium channel activity regulates sodium channel levels in rat pituitary GH3 cells.
Topics: 3-Pyridinecarboxylic acid, 1,4-dihydro-2,6-dimethyl-5-nitro-4-(2-(trifluoromethyl)phenyl)-, Methyl ester; Animals; Calcium Channel Agonists; Calcium Channel Blockers; Calcium Channels, L-Type; Cell Line; Cycloheximide; Dactinomycin; Electrophysiology; Ion Channel Gating; Nimodipine; Nucleic Acid Synthesis Inhibitors; Pituitary Gland; Protein Synthesis Inhibitors; Rats; Saxitoxin; Sodium Channels; Transcription, Genetic | 2000 |