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Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Author(s): Lintott, Rachel
McMahon, Stephen
Prise, Kevin
Addie-Lagorio, Celine
Shankland, Carron
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Title: Using process algebra to model radiation induced bystander effects
Editor(s): Mendes, P
Dada, JO
Smallbone, K
Citation: Lintott R, McMahon S, Prise K, Addie-Lagorio C & Shankland C (2014) Using process algebra to model radiation induced bystander effects. In: Mendes P, Dada J & Smallbone K (eds.) Computational Methods in Systems Biology: 12th International Conference, CMSB 2014, Manchester, UK, November 17-19, 2014, Proceedings. Lecture Notes in Computer Science, 8859. Computational Methods in Systems Biology 2014, Manchester, UK, 17.11.2014-19.11.2014. Cham, Switzerland: Springer International Publishing, pp. 196-210.
Issue Date: 2014
Date Deposited: 13-Aug-2015
Series/Report no.: Lecture Notes in Computer Science, 8859
Conference Name: Computational Methods in Systems Biology 2014
Conference Dates: 2014-11-17 - 2014-11-19
Conference Location: Manchester, UK
Abstract: Radiation induced bystander effects are secondary effects caused by the production of chemical signals by cells in response to radiation. We present a Bio-PEPA model which builds on previous modelling work in this field to predict: the surviving fraction of cells in response to radiation, the relative proportion of cell death caused by bystander signalling, the risk of non-lethal damage and the probability of observing bystander signalling for a given dose. This work provides the foundation for modelling bystander effects caused by biologically realistic dose distributions, with implications for cancer therapies.
Status: AM - Accepted Manuscript
Rights: Publisher policy allows this work to be made available in this repository; The final publication is available at Springer via

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