Inhibition of quorum sensing in a computational biofilm simulation
Bacteria communicate through small diffusible molecules in a process known as quorum sensing. Quorum-sensing inhibitors are compounds which interfere with this, providing a potential treatment for infections associated with bacterial biofilms. We present an individual-based computational model for a...
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sg-ntu-dr.10356-845022020-05-28T07:17:59Z Inhibition of quorum sensing in a computational biofilm simulation Lees, M. Fozard, J. A. King, J. R. Logan, B. S. School of Computer Engineering Bacteria communicate through small diffusible molecules in a process known as quorum sensing. Quorum-sensing inhibitors are compounds which interfere with this, providing a potential treatment for infections associated with bacterial biofilms. We present an individual-based computational model for a developing biofilm. Cells are aggregated into particles for computational efficiency, but the quorum-sensing mechanism is modelled as a stochastic process on the level of individual cells. Simulations are used to investigate different treatment regimens. The response to the addition of inhibitor is found to depend significantly on the form of the positive feedback in the quorum-sensing model; in cases where the model exhibits bistability, the time at which treatment is initiated proves to be critical for the effective prevention of quorum sensing and hence potentially of virulence. 2013-07-31T06:43:44Z 2019-12-06T15:46:11Z 2013-07-31T06:43:44Z 2019-12-06T15:46:11Z 2012 2012 Journal Article Fozard, J., Lees, M., King, J.,& Logan, B. (2012). Inhibition of quorum sensing in a computational biofilm simulation. Biosystems, 109(2), 105-114. 0303-2647 https://hdl.handle.net/10356/84502 http://hdl.handle.net/10220/12628 10.1016/j.biosystems.2012.02.002 en Biosystems |
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Bacteria communicate through small diffusible molecules in a process known as quorum sensing. Quorum-sensing inhibitors are compounds which interfere with this, providing a potential treatment for infections associated with bacterial biofilms. We present an individual-based computational model for a developing biofilm. Cells are aggregated into particles for computational efficiency, but the quorum-sensing mechanism is modelled as a stochastic process on the level of individual cells.
Simulations are used to investigate different treatment regimens. The response to the addition of inhibitor is found to depend significantly on the form of the positive feedback in the quorum-sensing model; in cases where the model exhibits bistability, the time at which treatment is initiated proves to be critical for the effective prevention of quorum sensing and hence potentially of virulence. |
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School of Computer Engineering |
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School of Computer Engineering Lees, M. Fozard, J. A. King, J. R. Logan, B. S. |
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Article |
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Lees, M. Fozard, J. A. King, J. R. Logan, B. S. |
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Lees, M. Fozard, J. A. King, J. R. Logan, B. S. Inhibition of quorum sensing in a computational biofilm simulation |
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Lees, M. |
title |
Inhibition of quorum sensing in a computational biofilm simulation |
title_short |
Inhibition of quorum sensing in a computational biofilm simulation |
title_full |
Inhibition of quorum sensing in a computational biofilm simulation |
title_fullStr |
Inhibition of quorum sensing in a computational biofilm simulation |
title_full_unstemmed |
Inhibition of quorum sensing in a computational biofilm simulation |
title_sort |
inhibition of quorum sensing in a computational biofilm simulation |
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2013 |
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https://hdl.handle.net/10356/84502 http://hdl.handle.net/10220/12628 |
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