Compounds > chlorpromazine

chlorpromazine and netilmicin

chlorpromazine has been researched along with netilmicin in 5 studies

Research

Studies (5)

Timeframe	Studies, this research(%)	All Research%
pre-1990	0 (0.00)	18.7374
1990's	0 (0.00)	18.2507
2000's	3 (60.00)	29.6817
2010's	2 (40.00)	24.3611
2020's	0 (0.00)	2.80

Authors

Authors	Studies
Lombardo, F; Obach, RS; Waters, NJ	1
Chupka, J; El-Kattan, A; Feng, B; Miller, HR; Obach, RS; Troutman, MD; Varma, MV	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

Other Studies

5 other study(ies) available for chlorpromazine and netilmicin

Article	Year
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
Physicochemical determinants of human renal clearance. Journal of medicinal chemistry, 2009, Aug-13, Volume: 52, Issue:15 Topics: Humans; Hydrogen Bonding; Hydrogen-Ion Concentration; Hydrophobic and Hydrophilic Interactions; Kidney; Metabolic Clearance Rate; Molecular Weight	2009
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