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
Authors: 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
Editors: 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 JO, Smallbone K (ed.) Computational Methods in Systems Biology: 12th International Conference, CMSB 2014, Manchester, UK, November 17-19, 2014, Proceedings, Cham, Switzerland: Springer International Publishing. Computational Methods in Systems Biology 2014, 17.11.2014 - 19.11.2014, Manchester, UK, pp. 196-210.
Issue Date: 2014
Series/Report no.: Lecture Notes in Computer Science, 8859
Conference Name: Computational Methods in Systems Biology 2014
Conference Dates: 2014-11-17T00:00:00Z
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.
Type: Conference Paper
Status: Book Chapter: author post-print (pre-copy editing)
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
URI: http://hdl.handle.net/1893/22114
URL: http://link.springer.com/chapter/10.1007/978-3-319-12982-2_14
Affiliation: Computing Science - CSM Dept
Queen's University Belfast
Queen's University Belfast
University of Stirling
Computing Science - CSM Dept

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