Conference Paper (published)
Details
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
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 | Published |
|---|---|
| Funders | |
| Title of series | Lecture Notes in Computer Science |
| Number in series | 8859 |
| Publication date | 31/12/2014 |
| Publication date online | 30/11/2014 |
| URL | |
| Publisher | Springer International Publishing |
| Place of publication | Cham, Switzerland |
| ISSN of series | 0302-9743 |
| ISBN | 978-3-319-12981-5 |
| Conference | Computational Methods in Systems Biology 2014 |
| Conference location | Manchester, UK |
| Dates | – |