Page last updated: 2024-09-02

5-hydroxydopamine and ethinyl estradiol

5-hydroxydopamine has been researched along with ethinyl estradiol in 2 studies

Compound Research Comparison

Studies
(5-hydroxydopamine)
Trials
(5-hydroxydopamine)
Recent Studies (post-2010)
(5-hydroxydopamine)
Studies
(ethinyl estradiol)
Trials
(ethinyl estradiol)
Recent Studies (post-2010) (ethinyl estradiol)
71009,0701,5661,732

Protein Interaction Comparison

ProteinTaxonomy5-hydroxydopamine (IC50)ethinyl estradiol (IC50)
Solute carrier family 22 member 2Homo sapiens (human)2.2
Bile salt export pumpHomo sapiens (human)10
Estrogen receptorHomo sapiens (human)0.0035
Glucocorticoid receptorHomo sapiens (human)1.71
Glycine receptor subunit alpha-1Rattus norvegicus (Norway rat)1.71
Aldo-keto reductase family 1 member B1Rattus norvegicus (Norway rat)0.959
Polyunsaturated fatty acid lipoxygenase ALOX15Oryctolagus cuniculus (rabbit)5.678
Androgen receptorRattus norvegicus (Norway rat)4.8812
Glycine receptor subunit betaRattus norvegicus (Norway rat)1.71
Glycine receptor subunit alpha-2Rattus norvegicus (Norway rat)1.71
Sodium-dependent noradrenaline transporter Homo sapiens (human)0.959
Glycine receptor subunit alpha-3Rattus norvegicus (Norway rat)1.71
Sodium-dependent serotonin transporterHomo sapiens (human)0.054
Sulfotransferase 1A1Homo sapiens (human)0.02
Sodium-dependent dopamine transporter Homo sapiens (human)0.559
Aldehyde oxidaseHomo sapiens (human)0.57
Nuclear receptor subfamily 1 group I member 3 Homo sapiens (human)3
Estrogen receptor betaHomo sapiens (human)0.0129

Research

Studies (2)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's1 (50.00)29.6817
2010's1 (50.00)24.3611
2020's0 (0.00)2.80

Authors

AuthorsStudies
Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM1
Glen, RC; Lowe, R; Mitchell, JB1

Other Studies

2 other study(ies) available for 5-hydroxydopamine and ethinyl estradiol

ArticleYear
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