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Analysis of Drug Pharmacology towards Predicting Drug Behavior by Expression Profiling Using High‐Density Oligonucleotide Arrays
Author(s) -
HU JINGSHAN,
DURST MARK,
KERB REINHOLD,
TRUONG VIVI,
MA JINGTYAN,
KHURGIN ELINA,
BALABAN DAVID,
GINGERAS THOMAS R.,
HOFFMAN BRIAN B.
Publication year - 2000
Publication title -
annals of the new york academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.712
H-Index - 248
eISSN - 1749-6632
pISSN - 0077-8923
DOI - 10.1111/j.1749-6632.2000.tb06862.x
Subject(s) - drug , profiling (computer programming) , computational biology , pharmacology , chemistry , biology , computer science , operating system
A bstract : An important aspect of the drug development process is prediction of efficacious and toxic side effects. Profiling of mRNA expression is a powerful approach to analyze the molecular phenotype of cells under various conditions, for example, in response to stimulation by compounds. We attempt to explore the approach of using expression profiling to identify patterns or fingerprints that are correlated with specific drug properties or behaviors. Identification of such expression patterns may also lead to revelation of the potential action mechanism of drugs and fingerprints indicative of certain drug efficacy or side effects. We describe here a strategy that was used to identify a set of genes whose differential expression pattern correlates with activation mode and target specificity of a specific group of drug compounds.