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Coming Phase to Phase with Surfactants

Coming Phase to Phase with Surfactants
Coming Phase to Phase with Surfactants
We introduce a fast cellular automata model for the simulation of surfactant dynamics based on a previous model by Ono and Ikegami (2001). Here, individual lipid-like particles undergo stochastic movement and rotation on a two-dimensional lattice in response to potential energy gradients. The particles are endowed with an internal structure that reflects their amphiphilic character. Their head groups are weakly repelled by water whereas their hydrophobic tails cannot be readily hydrated. This leads to the formation of a variety of structures when the particles are placed in solution. The model in its current form compels a myriad of potential self-organisation experiments. Heterogeneous boundary conditions, chemical interactions and an arbitrary diversity of particles can easily be modelled. Our main objective was to establish a computational platform for investigating how mechanisms of lipid homeostasis might evolve among populations of protocells.
0-262-29714-0
70-77
Bartlett, Stuart
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Bullock, Seth
2ad576e4-56b8-4f31-84e0-51bd0b7a1cd3
Bartlett, Stuart
d6942368-4dbc-4111-bce0-1867f4c60a89
Bullock, Seth
2ad576e4-56b8-4f31-84e0-51bd0b7a1cd3

Bartlett, Stuart and Bullock, Seth (2011) Coming Phase to Phase with Surfactants. Proceedings of the Eleventh European Conference on the Synthesis and Simulation of Living Systems, France. 08 - 12 Aug 2011. pp. 70-77 .

Record type: Conference or Workshop Item (Paper)

Abstract

We introduce a fast cellular automata model for the simulation of surfactant dynamics based on a previous model by Ono and Ikegami (2001). Here, individual lipid-like particles undergo stochastic movement and rotation on a two-dimensional lattice in response to potential energy gradients. The particles are endowed with an internal structure that reflects their amphiphilic character. Their head groups are weakly repelled by water whereas their hydrophobic tails cannot be readily hydrated. This leads to the formation of a variety of structures when the particles are placed in solution. The model in its current form compels a myriad of potential self-organisation experiments. Heterogeneous boundary conditions, chemical interactions and an arbitrary diversity of particles can easily be modelled. Our main objective was to establish a computational platform for investigating how mechanisms of lipid homeostasis might evolve among populations of protocells.

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More information

Published date: 2011
Additional Information: Event Dates: 8-12/8/11
Venue - Dates: Proceedings of the Eleventh European Conference on the Synthesis and Simulation of Living Systems, France, 2011-08-08 - 2011-08-12
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 272914
URI: https://eprints.soton.ac.uk/id/eprint/272914
ISBN: 0-262-29714-0
PURE UUID: 934ddc9d-f572-43cd-98cc-127697df3cce

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Date deposited: 06 Oct 2011 10:18
Last modified: 12 Jun 2018 16:32

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