6 Scopus citations

Abstract

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
PublisherElsevier
Pages65-91
Number of pages27
ISBN (Electronic)9780128012710
ISBN (Print)9780128012130
DOIs
StatePublished - Mar 25 2015

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All Science Journal Classification (ASJC) codes

  • Mathematics(all)

Cite this

Albert, R., & Robeva, R. (2015). Signaling Networks: Asynchronous Boolean Models. In Algebraic and Discrete Mathematical Methods for Modern Biology (pp. 65-91). Elsevier. https://doi.org/10.1016/B978-0-12-801213-0.00004-6