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Agent-Based Models of Cellular Systems

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Computational Toxicology

Part of the book series: Methods in Molecular Biology ((MIMB,volume 930))

Abstract

Software agents are particularly suitable for engineering models and simulations of cellular systems. In a very natural and intuitive manner, individual software components are therein delegated to reproduce “in silico” the behavior of individual components of alive systems at a given level of resolution. Individuals’ actions and interactions among individuals allow complex collective behavior to emerge. In this chapter we first introduce the readers to software agents and multi-agent systems, reviewing the evolution of agent-based modeling of biomolecular systems in the last decade. We then describe the main tools, platforms, and methodologies available for programming societies of agents, possibly profiting also of toolkits that do not require advanced programming skills.

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Authors and Affiliations

  1. School of Science and Technology, University of Camerino, Camerino, Italy

    Nicola Cannata, Flavio Corradini, Emanuela Merelli & Luca Tesei

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  1. Nicola Cannata
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  2. Flavio Corradini
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  3. Emanuela Merelli
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  4. Luca Tesei
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Correspondence to Nicola Cannata .

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Editors and Affiliations

  1. School of Biomedical Engineering, Chemical & Biological Engineering, Colorado State University, Campus Delivery 1370, Fort Collins, 80523-1370, Colorado, USA

    Brad Reisfeld

  2. , Chemical & Biological Engineering, Colorado State University, Campus Delivery 1370, Fort Collins, 80523-1370, Colorado, USA

    Arthur N. Mayeno

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Cannata, N., Corradini, F., Merelli, E., Tesei, L. (2013). Agent-Based Models of Cellular Systems. In: Reisfeld, B., Mayeno, A. (eds) Computational Toxicology. Methods in Molecular Biology, vol 930. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-059-5_18

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  • DOI: https://doi.org/10.1007/978-1-62703-059-5_18

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