Compounds > haloperidol

haloperidol and prenylamine

haloperidol has been researched along with prenylamine in 7 studies

Research

Studies (7)

Timeframe	Studies, this research(%)	All Research%
pre-1990	3 (42.86)	18.7374
1990's	0 (0.00)	18.2507
2000's	1 (14.29)	29.6817
2010's	3 (42.86)	24.3611
2020's	0 (0.00)	2.80

Authors

Authors	Studies
Creveling, CR; Daly, JW; Lewandowski, GA; McNeal, ET	1
Andrews, PR; Craik, DJ; Martin, JL	1
Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM	1
Glen, RC; Lowe, R; Mitchell, JB	1
Cooper, J; Cui, Y; Fink, M; Gavaghan, DJ; Heath, BM; McMahon, NC; Mirams, GR; Noble, D; Sher, A	1
Brouillette, WJ; Brown, GB; Zha, C	1
Boissier, JR; Larousse, C; Simon, P; Villeneuve, A	1

Other Studies

7 other study(ies) available for haloperidol and prenylamine

Article	Year
[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
A highly predictive 3D-QSAR model for binding to the voltage-gated sodium channel: design of potent new ligands. Bioorganic & medicinal chemistry, 2014, Jan-01, Volume: 22, Issue:1 Topics: Ligands; Models, Molecular; Quantitative Structure-Activity Relationship; Voltage-Gated Sodium Channels	2014
Flurothyl in mice: seizure, post-convulsive behavior, and interactions with psychotropic drugs. Canadian journal of physiology and pharmacology, 1968, Volume: 46, Issue:1 Topics: Amphetamine; Animals; Atropine; Behavior, Animal; Biperiden; Caffeine; Catalepsy; Central Nervous System Stimulants; Chlordiazepoxide; Chlorpromazine; Diazepam; Electroshock; Haloperidol; Humans; Imipramine; Iproniazid; Meprobamate; Monoamine Oxidase Inhibitors; Motor Activity; Parasympatholytics; Pargyline; Prenylamine; Procyclidine; Rats; Reflex; Reserpine; Seizures; Tranylcypromine	1968