Modeling the Normal and Neoplastic Cell Cycle with 'Realistic Boolean Genetic Networks' : Their Application for Understanding Carcinogenesis and Assessing Therapeutic Strategies
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- 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.
- NASA Technical Reports Server (NTRS) Collection.
- Document ID: 20010002316.
- No Copyright.
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