Compounds > thioridazine
Page last updated: 2024-08-16

thioridazine and prenylamine

thioridazine has been researched along with prenylamine in 6 studies

Research

Studies (6)

TimeframeStudies, this research(%)All Research%
pre-19902 (33.33)18.7374
1990's0 (0.00)18.2507
2000's1 (16.67)29.6817
2010's3 (50.00)24.3611
2020's0 (0.00)2.80

Authors

AuthorsStudies
Creveling, CR; Daly, JW; Lewandowski, GA; McNeal, ET1
Andrews, PR; Craik, DJ; Martin, JL1
Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM1
Glen, RC; Lowe, R; Mitchell, JB1
Cooper, J; Cui, Y; Fink, M; Gavaghan, DJ; Heath, BM; McMahon, NC; Mirams, GR; Noble, D; Sher, A1
Fijorek, K; Glinka, A; Mendyk, A; Polak, S; Wiśniowska, B1

Other Studies

6 other study(ies) available for thioridazine and prenylamine

ArticleYear
[3H]Batrachotoxinin A 20 alpha-benzoate binding to voltage-sensitive sodium channels: a rapid and quantitative assay for local anesthetic activity in a variety of drugs.
    Journal of medicinal chemistry, 1985, Volume: 28, Issue:3

    Topics: Adrenergic alpha-Antagonists; Adrenergic beta-Antagonists; Anesthetics, Local; Animals; Batrachotoxins; Calcium Channel Blockers; Cyclic AMP; Guinea Pigs; Histamine H1 Antagonists; In Vitro Techniques; Ion Channels; Neurotoxins; Sodium; Tranquilizing Agents; Tritium

1985
Functional group contributions to drug-receptor interactions.
    Journal of medicinal chemistry, 1984, Volume: 27, Issue:12

    Topics: Animals; Calorimetry; Kinetics; Models, Biological; Protein Binding; Receptors, Cell Surface; Receptors, Drug; Structure-Activity Relationship

1984
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
Simulation of multiple ion channel block provides improved early prediction of compounds' clinical torsadogenic risk.
    Cardiovascular research, 2011, Jul-01, Volume: 91, Issue:1

    Topics: Action Potentials; Animals; Calcium Channel Blockers; Calcium Channels, L-Type; Computer Simulation; Dogs; Dose-Response Relationship, Drug; ERG1 Potassium Channel; Ether-A-Go-Go Potassium Channels; Guinea Pigs; HEK293 Cells; Humans; Ion Channels; Kinetics; Models, Cardiovascular; NAV1.5 Voltage-Gated Sodium Channel; Patch-Clamp Techniques; Potassium Channel Blockers; Rabbits; Risk Assessment; Risk Factors; Sodium Channel Blockers; Sodium Channels; Torsades de Pointes; Transfection

2011
Predictive model for L-type channel inhibition: multichannel block in QT prolongation risk assessment.
    Journal of applied toxicology : JAT, 2012, Volume: 32, Issue:10

    Topics: Artificial Intelligence; Calcium Channel Blockers; Calcium Channels, L-Type; Cell Line; Computational Biology; Computer Simulation; Drugs, Investigational; Ether-A-Go-Go Potassium Channels; Expert Systems; Heart Rate; Humans; Models, Biological; Myocytes, Cardiac; NAV1.5 Voltage-Gated Sodium Channel; Potassium Channel Blockers; Quantitative Structure-Activity Relationship; Risk Assessment; Shaker Superfamily of Potassium Channels; Torsades de Pointes; Voltage-Gated Sodium Channel Blockers

2012