Conference Proceeding

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. 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.

StatusPublished
FundersEngineering and Physical Sciences Research Council
Title of seriesLecture Notes in Computer Science
Number in series8859
Publication date31/12/2014
Publication date online30/11/2014
URLhttp://hdl.handle.net/1893/22114
PublisherSpringer International Publishing
Place of publicationCham, Switzerland
ISSN of series0302-9743
ISBN978-3-319-12981-5
ConferenceComputational Methods in Systems Biology 2014
Conference locationManchester, UK
Dates

Research centres/groups