bepridil has been researched along with fentanyl 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 |
|---|---|
| Nagashima, R; Nishikawa, T; Tobita, M | 1 |
| Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL | 1 |
| García-Mera, X; González-Díaz, H; Prado-Prado, FJ | 1 |
3 other study(ies) available for bepridil and fentanyl
| Article | Year |
|---|---|
A discriminant model constructed by the support vector machine method for HERG potassium channel inhibitors.
Topics: Animals; CHO Cells; Cricetinae; Discriminant Analysis; ERG1 Potassium Channel; Ether-A-Go-Go Potassium Channels; Humans; Potassium Channel Blockers; Potassium Channels, Voltage-Gated | 2005 |
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 |
Multi-target spectral moment QSAR versus ANN for antiparasitic drugs against different parasite species.
Topics: Antiparasitic Agents; Molecular Structure; Neural Networks, Computer; Parasitic Diseases; Quantitative Structure-Activity Relationship; Species Specificity; Thermodynamics | 2010 |