amodiaquine hydrochloride has been researched along with suramin 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 |
|---|---|
| Angelo, M; McCall, JW; Ortwine, D; Werbel, LM; Worth, D | 1 |
| Barnes, JC; Bradley, P; Day, NC; Fourches, D; Reed, JZ; Tropsha, A | 1 |
| Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM | 1 |
| Glen, RC; Lowe, R; Mitchell, JB | 1 |
4 other study(ies) available for amodiaquine hydrochloride and suramin
| Article | Year |
|---|---|
Synthesis and antifilarial activity of N-[4-[[4-alkoxy-3-[(dialkylamino)methyl]phenyl]amino]- 2-pyrimidinyl]-N'-phenylguanidines.
Topics: Animals; Antinematodal Agents; Brugia; Filarioidea; Gerbillinae; Guanidines; Microfilariae | 1983 |
Cheminformatics analysis of assertions mined from literature that describe drug-induced liver injury in different species.
Topics: Animals; Chemical and Drug Induced Liver Injury; Cluster Analysis; Databases, Factual; Humans; MEDLINE; Mice; Models, Chemical; Molecular Conformation; Quantitative Structure-Activity Relationship | 2010 |
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 |