Page last updated: 2024-09-05

l 694,458 and fluvoxamine

l 694,458 has been researched along with fluvoxamine in 3 studies

Compound Research Comparison

Studies
(l 694,458)
Trials
(l 694,458)
Recent Studies (post-2010)
(l 694,458)
Studies
(fluvoxamine)
Trials
(fluvoxamine)
Recent Studies (post-2010) (fluvoxamine)
290102,051518434

Protein Interaction Comparison

ProteinTaxonomyl 694,458 (IC50)fluvoxamine (IC50)
DRattus norvegicus (Norway rat)0.54
D(3) dopamine receptorRattus norvegicus (Norway rat)0.54
D(1B) dopamine receptorRattus norvegicus (Norway rat)0.54
D(4) dopamine receptorRattus norvegicus (Norway rat)0.54
Sodium-dependent serotonin transporterHomo sapiens (human)0.0038
Sodium-dependent serotonin transporterRattus norvegicus (Norway rat)0.54
D(2) dopamine receptorRattus norvegicus (Norway rat)0.54
Potassium voltage-gated channel subfamily H member 2Homo sapiens (human)3.1
TransporterRattus norvegicus (Norway rat)0.54

Research

Studies (3)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's2 (66.67)29.6817
2010's1 (33.33)24.3611
2020's0 (0.00)2.80

Authors

AuthorsStudies
Dansette, PM; Fontana, E; Poli, SM1
Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM1
Glen, RC; Lowe, R; Mitchell, JB1

Reviews

1 review(s) available for l 694,458 and fluvoxamine

ArticleYear
Cytochrome p450 enzymes mechanism based inhibitors: common sub-structures and reactivity.
    Current drug metabolism, 2005, Volume: 6, Issue:5

    Topics: Cytochrome P-450 Enzyme Inhibitors; Cytochrome P-450 Enzyme System; Drug Interactions; Enzyme Inhibitors; Humans; Isoenzymes; Structure-Activity Relationship; Terminology as Topic

2005

Other Studies

2 other study(ies) available for l 694,458 and fluvoxamine

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