1. ChemInform Abstract: Mining the NCI Anticancer Drug Discovery Databases: Genetic Function Approximation for the QSAR Study of Anticancer Ellipticine Analogues
- Author
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Stephen H. Friend, John N. Weinstein, Kenneth D. Paull, Patrick M. O'Connor, Timothy G. Myers, Leming M. Shi, and Yi Fan
- Subjects
Ellipticine ,Quantitative structure–activity relationship ,Molecular model ,Chemistry ,Drug discovery ,Genetic function ,General Medicine ,Computational biology ,Cell selectivity ,Anticancer drug ,Hierarchical clustering - Abstract
The U.S. National Cancer Institute (NCI) conducts a drug discovery program in which ∼10 000 compounds are screened every year in vitro against a panel of 60 human cancer cell lines from different organs of origin. Since 1990, ∼63 000 compounds have been tested, and their patterns of activity profiled. Recently, we analyzed the antitumor activity patterns of 112 ellipticine analogues using a hierarchical clustering algorithm. Dramatic coherence between molecular structures and activity patterns was observed qualitatively from the cluster tree. In the present study, we further investigate the quantitative structure−activity relationships (QSAR) of these compounds, in particular with respect to the influence of p53-status and the CNS cell selectivity of the activity patterns. Independent variables (i.e., chemical structural descriptors of the ellipticine analogues) were calculated from the Cerius2 molecular modeling package. Important structural descriptors, including partial atomic charges on the ellipticin...
- Published
- 2010
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