Compounds > haloperidol

haloperidol and chlortetracycline

haloperidol has been researched along with chlortetracycline in 6 studies

Research

Studies (6)

Timeframe	Studies, this research(%)	All Research%
pre-1990	0 (0.00)	18.7374
1990's	0 (0.00)	18.2507
2000's	3 (50.00)	29.6817
2010's	3 (50.00)	24.3611
2020's	0 (0.00)	2.80

Authors

Authors	Studies
Andricopulo, AD; Moda, TL; Montanari, CA	1
Lombardo, F; Obach, RS; Waters, NJ	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
Bellman, K; Knegtel, RM; Settimo, L	1

Other Studies

6 other study(ies) available for haloperidol and chlortetracycline

Article	Year
Hologram QSAR model for the prediction of human oral bioavailability. Bioorganic & medicinal chemistry, 2007, Dec-15, Volume: 15, Issue:24 Topics: Administration, Oral; Biological Availability; Holography; Humans; Models, Biological; Models, Molecular; Molecular Structure; Pharmaceutical Preparations; Pharmacokinetics; Quantitative Structure-Activity Relationship	2007
Trend analysis of a database of intravenous pharmacokinetic parameters in humans for 670 drug compounds. Drug metabolism and disposition: the biological fate of chemicals, 2008, Volume: 36, Issue:7 Topics: Blood Proteins; Half-Life; Humans; Hydrogen Bonding; Infusions, Intravenous; Pharmacokinetics; Protein Binding	2008
Cheminformatics analysis of assertions mined from literature that describe drug-induced liver injury in different species. Chemical research in toxicology, 2010, Volume: 23, Issue:1 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. 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
Comparison of the accuracy of experimental and predicted pKa values of basic and acidic compounds. Pharmaceutical research, 2014, Volume: 31, Issue:4 Topics: Chemistry, Pharmaceutical; Forecasting; Hydrogen-Ion Concentration; Pharmaceutical Preparations; Random Allocation	2014