2016
DOI: 10.1021/acssynbio.5b00243
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Entrainment and Control of Bacterial Populations: An in Silico Study over a Spatially Extended Agent Based Model

Abstract: General rightsThis document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/pure/about/ebr-terms AbstractAs control in cellular populations is becoming more common we extend a spatially explicit agent based model (ABM), developed previously to investigate population emergent behaviour of synchronized oscillating cells in a microfluidic chamber, to include control. Thus, unlike m… Show more

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Cited by 6 publications
(3 citation statements)
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“…With a view toward the in vivo implementation, we next assessed via agent-based simulations the performance of both control strategies. To this aim we conducted in silico experiments with BSim 2.0, an advanced agent-based simulator of bacterial populations , that is able to replicate realistic phenomena such as cell growth, spatial diffusion, variability in cell geometry, and flush-out of the cells from the microfluidic chamber (see Methods for further details). Figure shows the results of the agent-based simulations confirming the effectiveness and viability of the strategies for in vivo experiments.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…With a view toward the in vivo implementation, we next assessed via agent-based simulations the performance of both control strategies. To this aim we conducted in silico experiments with BSim 2.0, an advanced agent-based simulator of bacterial populations , that is able to replicate realistic phenomena such as cell growth, spatial diffusion, variability in cell geometry, and flush-out of the cells from the microfluidic chamber (see Methods for further details). Figure shows the results of the agent-based simulations confirming the effectiveness and viability of the strategies for in vivo experiments.…”
Section: Resultsmentioning
confidence: 99%
“…Agent-based simulations were implemented in BSim 2.0, an advanced bacteria simulator developed in Java. , Inspired by the so-called mother machine in microfluidics, we designed a 1 × 30 × 1 μm rectangular chamber that hosts a single layer cell population where cells are lined up. The chamber is open on the top (short side), from where the inducers diffuses and cells are flushed out due to their own growth and medium flow.…”
Section: Methodsmentioning
confidence: 99%
“…There are known advantages of in silico modelling the action of therapeutic agents on known diseases through agent-based modelling 74 . However, the literature evidenced some intrinsic limitations on the choice of parameters, like the size of investigated populations 75 , while major problems are related to model validation 75,76 , also requiring to supplement the models with adequate formal ontologies 77 . Thanks to its abstract nature, stock-flow description can be used in a wide range of different fields, realizing the conceptual bridge that connects the language of biological systems to that of ecology.…”
Section: Discussionmentioning
confidence: 99%