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Published on: February 8, 2013
Modeling the normal and neoplastic cell cycle with "realistic Boolean genetic networks": their application for
1Department of Pharmacology, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA. zszallas@mx3.usuhs.mil
Abstract:
In this paper we show how Boolean genetic networks could be used to address complex problems in cancer biology. First, we describe a general strategy to generate Boolean genetic networks that incorporate all relevant biochemical and physiological parameters and cover all of their regulatory interactions in a deterministic manner. Second, we introduce "realistic Boolean genetic networks" that produce time series measurements very similar to those detected in actual biological systems. Third, we outline a series of essential questions related to cancer biology and cancer therapy that could be addressed by the use of "realistic Boolean genetic network" modeling.
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