triparanol has been researched along with amiodarone in 3 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 2 (66.67) | 29.6817 |
| 2010's | 1 (33.33) | 24.3611 |
| 2020's | 0 (0.00) | 2.80 |
| Authors | Studies |
|---|---|
| Fiechtner, B; Glossmann, H; Hoffmann, RD; Laggner, C; Langer, T; Moebius, FF; Poles, G; Schieferer, C | 1 |
| Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM | 1 |
| Glen, RC; Lowe, R; Mitchell, JB | 1 |
3 other study(ies) available for triparanol and amiodarone
| Article | Year |
|---|---|
Discovery of high-affinity ligands of sigma1 receptor, ERG2, and emopamil binding protein by pharmacophore modeling and virtual screening.
Topics: Animals; Carrier Proteins; Databases, Factual; Guinea Pigs; Humans; Hydrogen Bonding; Hydrophobic and Hydrophilic Interactions; Isomerism; Ligands; Models, Molecular; Quantitative Structure-Activity Relationship; Radioligand Assay; Receptors, sigma; Saccharomyces cerevisiae; Sigma-1 Receptor; Steroid Isomerases | 2005 |
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 |