sotalol has been researched along with zimeldine in 4 studies
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 1 (25.00) | 18.7374 |
1990's | 0 (0.00) | 18.2507 |
2000's | 1 (25.00) | 29.6817 |
2010's | 2 (50.00) | 24.3611 |
2020's | 0 (0.00) | 2.80 |
Authors | Studies |
---|---|
Creveling, CR; Daly, JW; Lewandowski, GA; McNeal, ET | 1 |
Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM | 1 |
Glen, RC; Lowe, R; Mitchell, JB | 1 |
Chen, M; Hu, C; Suzuki, A; Thakkar, S; Tong, W; Yu, K | 1 |
1 review(s) available for sotalol and zimeldine
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 |
3 other study(ies) available for sotalol and zimeldine
Article | Year |
---|---|
[3H]Batrachotoxinin A 20 alpha-benzoate binding to voltage-sensitive sodium channels: a rapid and quantitative assay for local anesthetic activity in a variety of drugs.
Topics: Adrenergic alpha-Antagonists; Adrenergic beta-Antagonists; Anesthetics, Local; Animals; Batrachotoxins; Calcium Channel Blockers; Cyclic AMP; Guinea Pigs; Histamine H1 Antagonists; In Vitro Techniques; Ion Channels; Neurotoxins; Sodium; Tranquilizing Agents; Tritium | 1985 |
Development of a phospholipidosis database and predictive quantitative structure-activity relationship (QSAR) models.
Topics: | 2008 |
Predicting phospholipidosis using machine learning.
Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine | 2010 |