Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/22114
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 |
Contact Email: | carron.shankland@stir.ac.uk |
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. https://doi.org/10.1007/978-3-319-12982-2_14 |
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 http://dx.doi.org/10.1007/978-3-319-12982-2_14 |
Files in This Item:
File | Description | Size | Format | |
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CSMBpaper.pdf | Fulltext - Accepted Version | 305.81 kB | Adobe PDF | View/Open |
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