APICe » Publications » Agent-based Modelling in Multicellular Systems Biology

Agent-based Modelling in Multicellular Systems Biology

Sara Montagna, Andrea Omicini
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 agent-based simulation platform.
Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications, Ch. 20, pages 369-389, 2020, IGI Global
Reprint
@incollection{abminmsb-dataanalyticsmedicinebook2020,
	Author = {Montagna, Sara and Omicini, Andrea},
	Booktitle = {Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications},
	Chapter = 20,
	Doi = {10.4018/978-1-7998-1204-3.ch020},
	Isbn = {9781799812043},
	Isbn-10 = {1799812049},
	Isbn-Online = {9781799812050},
	Note = {Reprint},
	Pages = {369--389},
	Publisher = {IGI Global},
	Title = {Agent-based Modelling in Multicellular Systems Biology},
	Url = {https://www.igi-global.com/gateway/chapter/243121},
	Year = 2020}