Conference Paper (in Formal Publication) ()
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.
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.
|Editor||Mendes P, Dada JO, Smallbone K|
|Authors||Lintott Rachel, McMahon Stephen, Prise Kevin, Addie-Lagorio Celine, Shankland Carron|
|Title of series||Lecture Notes in Computer Science|
|Number in series||8859|
|Date of public distribution||11/2014|
|Publisher||Springer International Publishing|
|Place of publication||Cham, Switzerland|
|ISSN of series||0302-9743|
Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2014)