|Appears in Collections:||Computing Science and Mathematics Conference Papers and Proceedings|
|Peer Review Status:||Refereed|
|Title:||Using process algebra to model radiation induced bystander effects|
|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. http://link.springer.com/chapter/10.1007/978-3-319-12982-2_14; https://doi.org/10.1007/978-3-319-12982-2_14|
|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 http://dx.doi.org/10.1007/978-3-319-12982-2_14|
|CSMBpaper.pdf||Fulltext - Accepted Version||305.81 kB||Adobe PDF||View/Open|
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