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Agent-Based Modelling in Multicellular Systems Biology

Agent-Based Modelling in Multicellular Systems Biology
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Author(s): Sara Montagna (Università di Bologna, Italy)and Andrea Omicini (Università di Bologna, Italy)
Copyright: 2017
Pages: 20
Source title: Multi-Agent-Based Simulations Applied to Biological and Environmental Systems
Source Author(s)/Editor(s): Diana Francisca Adamatti (Universidade Federal do Rio Grande, Brazil)
DOI: 10.4018/978-1-5225-1756-6.ch007

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Abstract

This chapter aims at discussing the content of multi-agent based simulation (MABS) applied to computational biology i.e., to modelling and simulating biological systems by means of computational models, methodologies, and frameworks. In particular, the adoption of agent-based modelling (ABM) in the field of multicellular systems biology is explored, focussing on the challenging scenarios of developmental biology. After motivating why agent-based abstractions are critical in representing multicellular systems behaviour, MABS is discussed as the source of the most natural and appropriate mechanism for analysing the self-organising behaviour of systems of cells. As a case study, an application of MABS to the development of Drosophila Melanogaster is finally presented, which exploits the ALCHEMIST platform for agent-based simulation.

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