Compounds > perhexiline

perhexiline and promazine

perhexiline has been researched along with promazine 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	2 (40.00)	29.6817
2010's	2 (40.00)	24.3611
2020's	1 (20.00)	2.80

Authors

Authors	Studies
Bleich, S; Gulbins, E; Kornhuber, J; Reichel, M; Terfloth, L; Tripal, P; Wiltfang, J	1
Choi, SS; Contrera, JF; Hastings, KL; Kruhlak, NL; Sancilio, LF; Weaver, JL; Willard, JM	1
Glen, RC; Lowe, R; Mitchell, JB	1
Atzpodien, EA; Csato, M; Doessegger, L; Fischer, H; Lenz, B; Schmitt, G; Singer, T	1
Dranchak, PK; Huang, R; Inglese, J; Lamy, L; Oliphant, E; Queme, B; Tao, D; Wang, Y; Xia, M	1

Other Studies

5 other study(ies) available for perhexiline and promazine

Article	Year
Identification of new functional inhibitors of acid sphingomyelinase using a structure-property-activity relation model. Journal of medicinal chemistry, 2008, Jan-24, Volume: 51, Issue:2 Topics: Algorithms; Animals; Cell Line; Cell Line, Tumor; Chemical Phenomena; Chemistry, Physical; Enzyme Inhibitors; Humans; Hydrogen-Ion Concentration; Molecular Conformation; Quantitative Structure-Activity Relationship; Rats; Sphingomyelin Phosphodiesterase	2008
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
In silico assay for assessing phospholipidosis potential of small druglike molecules: training, validation, and refinement using several data sets. Journal of medicinal chemistry, 2012, Jan-12, Volume: 55, Issue:1 Topics: Animals; Cattle; Cells, Cultured; Computer Simulation; Cornea; Drug-Related Side Effects and Adverse Reactions; Fibroblasts; Lipidoses; Lysosomal Storage Diseases; Models, Molecular; Pharmaceutical Preparations; Phospholipids; Structure-Activity Relationship; Thermodynamics	2012
In vivo quantitative high-throughput screening for drug discovery and comparative toxicology. Disease models & mechanisms, 2023, 03-01, Volume: 16, Issue:3 Topics: Animals; Caenorhabditis elegans; Drug Discovery; High-Throughput Screening Assays; Humans; Proteomics; Small Molecule Libraries	2023