Page last updated: 2024-08-17

triparanol and fenfluramine

triparanol has been researched along with fenfluramine in 3 studies

Research

Studies (3)

Timeframe	Studies, this research(%)	All Research%
pre-1990	1 (33.33)	18.7374
1990's	0 (0.00)	18.2507
2000's	1 (33.33)	29.6817
2010's	1 (33.33)	24.3611
2020's	0 (0.00)	2.80

Authors

Authors	Studies
Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM	1
Glen, RC; Lowe, R; Mitchell, JB	1
Lüllmann, H; Lüllmann-Rauch, R; Wassermann, O	1

Reviews

1 review(s) available for triparanol and fenfluramine

Article	Year
[Drug-induced phospholipid storage disease]. Deutsche medizinische Wochenschrift (1946), 1973, Aug-31, Volume: 98, Issue:35 Topics: Adrenal Gland Diseases; Amitriptyline; Animals; Anticholesteremic Agents; Appetite Depressants; Body Weight; Cardiomyopathies; Chemical Phenomena; Chemistry; Chloroquine; Chlorphentermine; Drug Interactions; Female; Fenfluramine; Humans; Iprindole; Lipidoses; Lung Diseases; Lysosomes; Male; Phospholipids; Piperazines; Rats; Testicular Diseases; Thyroid Diseases; Triparanol	1973

Article

Year

[Drug-induced phospholipid storage disease].

Deutsche medizinische Wochenschrift (1946), 1973, Aug-31, Volume: 98, Issue:35

Topics: Adrenal Gland Diseases; Amitriptyline; Animals; Anticholesteremic Agents; Appetite Depressants; Body Weight; Cardiomyopathies; Chemical Phenomena; Chemistry; Chloroquine; Chlorphentermine; Drug Interactions; Female; Fenfluramine; Humans; Iprindole; Lipidoses; Lung Diseases; Lysosomes; Male; Phospholipids; Piperazines; Rats; Testicular Diseases; Thyroid Diseases; Triparanol

1973

Other Studies

2 other study(ies) available for triparanol and fenfluramine

Article	Year
Development of a phospholipidosis database and predictive quantitative structure-activity relationship (QSAR) models. Toxicology mechanisms and methods, 2008, Volume: 18, Issue:2-3 Topics:	2008
Predicting phospholipidosis using machine learning. Molecular pharmaceutics, 2010, Oct-04, Volume: 7, Issue:5 Topics: Animals; Artificial Intelligence; Databases, Factual; Drug Discovery; Humans; Lipidoses; Models, Biological; Phospholipids; Support Vector Machine	2010