Signal transduction allows a cell to communicate with its surroundings. Many diseases such as developmental disorders, autoimmunity, and cancer have been shown to arise from mutations of signal transduction pathway components. Gaining a comprehensive understanding of the cell's signaling mechanisms is vitally important as we attempt to control and combat these diseases. Boolean networks have recently emerged as a modeling tool that can successfully provide a qualitative description for signal transduction dynamics and reproduce complex behaviors such as excitation-adaptation, multistability, and hysteresis. A strength of the method is its ability to accommodate information gaps in the network topology, rules of interaction, initial conditions, and timing. Boolean models have led to a better understanding of cellular signaling and have provided predictions validated by follow-up experiments. The chapter presents an introduction to asynchronous Boolean models of signal transduction.

Original languageEnglish (US)
Title of host publicationAlgebraic and Discrete Mathematical Methods for Modern Biology
Number of pages27
ISBN (Electronic)9780128012710
ISBN (Print)9780128012130
StatePublished - Mar 25 2015

All Science Journal Classification (ASJC) codes

  • Mathematics(all)


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