6 Citations (Scopus)

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

Fingerprint

Boolean Model
Signal Transduction
Autoimmunity
Multistability
Boolean Networks
Cell
Hysteresis
Network Topology
Disorder
Timing
Pathway
Cancer
Mutation
Initial conditions
Excitation
Prediction
Interaction
Modeling
Experiment

All Science Journal Classification (ASJC) codes

  • Mathematics(all)

Cite this

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

Signaling Networks : Asynchronous Boolean Models. / Albert, Reka Z.; Robeva, Raina.

Algebraic and Discrete Mathematical Methods for Modern Biology. Elsevier, 2015. p. 65-91.

Research output: Chapter in Book/Report/Conference proceedingChapter

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AB - 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.

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