Prediction of pharmacological and xenobiotic responses to drugs based on time course gene expression profiles.

ABSTRACT: More and more people are concerned by the risk of unexpected side effects observed in the later steps of the development of new drugs, either in late clinical development or after marketing approval. In order to reduce the risk of the side effects, it is important to look out for the possible xenobiotic responses at an early stage. We attempt such an effort through a prediction by assuming that similarities in microarray profiles indicate shared mechanisms of action and/or toxicological responses among the chemicals being compared. A large time course microarray database derived from livers of compound-treated rats with thirty-four distinct pharmacological and toxicological responses were studied. The mRMR (Minimum-Redundancy-Maximum-Relevance) method and IFS (Incremental Feature Selection

SUBMITTER: Huang T 

PROVIDER: S-EPMC2780314 | biostudies-literature | 2009 Dec

REPOSITORIES: biostudies-literature