sumatriptan has been researched along with fenfluramine in 5 studies
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 1 (20.00) | 18.2507 |
| 2000's | 3 (60.00) | 29.6817 |
| 2010's | 1 (20.00) | 24.3611 |
| 2020's | 0 (0.00) | 2.80 |
| Authors | Studies |
|---|---|
| Topliss, JG; Yoshida, F | 1 |
| Benz, RD; Contrera, JF; Kruhlak, NL; Matthews, EJ; Weaver, JL | 1 |
| Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM | 1 |
| Glen, RC; Lowe, R; Mitchell, JB | 1 |
| Bonanno, G; Fassio, A; Raiteri, M; Ruelle, A; Severi, P | 1 |
5 other study(ies) available for sumatriptan and fenfluramine
| Article | Year |
|---|---|
QSAR model for drug human oral bioavailability.
Topics: Administration, Oral; Biological Availability; Humans; Models, Biological; Models, Molecular; Pharmaceutical Preparations; Pharmacokinetics; Structure-Activity Relationship | 2000 |
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 |
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 |
Fenfluramine releases serotonin from human brain nerve endings by a dual mechanism.
Topics: Calcium; Cerebral Cortex; Fenfluramine; Fluoxetine; Humans; Nerve Endings; Serotonin; Sumatriptan; Synaptosomes; Tritium | 1994 |