CINF 40 |
| The National Cancer Institute Discovery Therapeutics Program (DTP) maintains a database of compounds (currently over 40,000) which have been screened for activity as potential anticancer agents in 60 human tumor cell lines. Each of these cell lines has also been tested in a microarray assay to generate gene expression profiles. Those data are potentially useful in identifying lead compounds for a specific molecular target and studying the molecular mechanism action of a drug by appropriate data-mining methods. In our work, various statistical and artificial intelligence methods are used to analysis the screen data together with compounds fingerprint data and the microarray assay gene expression data. Mining those databases, which bridge chemical, biological and genomic information together, can provide useful information in finding the correlations between the chemical sub-structure and biology activity, selecting compounds most likely to interact with a specific molecular target and developing a genomic-based approach to the prediction of drug response. |
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Sci-Mix
8:00 PM-10:00 PM, Monday, March 26, 2007 Hyatt Regency Chicago -- Riverside Center, Sci-Mix
Division of Chemical Information |