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Series:   Elements in the Structure and Dynamics of Complex Networks

Boolean Networks as Predictive Models of Emergent Biological Behaviors

Published online by Cambridge University Press:  04 March 2024

Jordan C. Rozum ,
Colin Campbell ,
Eli Newby ,
Fatemeh Sadat Fatemi Nasrollahi  and
Réka Albert
Jordan C. Rozum
Affiliation:
Binghamton University, State University of New York
Colin Campbell
Affiliation:
University of Mount Union
Eli Newby
Affiliation:
Pennsylvania State University
Fatemeh Sadat Fatemi Nasrollahi
Affiliation:
Indiana University
Réka Albert
Affiliation:
Pennsylvania State University

Summary

Interacting biological systems at all organizational levels display emergent behavior. Modeling these systems is made challenging by the number and variety of biological components and interactions – from molecules in gene regulatory networks to species in ecological networks – and the often-incomplete state of system knowledge, such as the unknown values of kinetic parameters for biochemical reactions. Boolean networks have emerged as a powerful tool for modeling these systems. This Element provides a methodological overview of Boolean network models of biological systems. After a brief introduction, the authors describe the process of building, analyzing, and validating a Boolean model. They then present the use of the model to make predictions about the system's response to perturbations and about how to control its behavior. The Element emphasizes the interplay between structural and dynamical properties of Boolean networks and illustrates them in three case studies from disparate levels of biological organization.
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Keywords

modeling biological systemsBoolean networksdiscrete dynamic modelsnetwork controlphenotype control
Type
Element
Information
Series: Elements in the Structure and Dynamics of Complex Networks
Online ISBN: 9781009292955
Publisher: Cambridge University Press
Print publication: 28 March 2024

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