Using Process Algebra to Model Radiation Induced Bystander Effects

Rachel Lintott*, Stephen McMahon, Kevin Prise, Celine Addie-Lagorio, Carron Shankland

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationComputational Methods in Systems Biology: 12th International Conference, CMSB 2014, Manchester, UK, November 17-19, 2014, Proceedings
PublisherSpringer-Verlag
Pages196-210
Number of pages15
Volume8859
ISBN (Print)9783319129815
DOIs
Publication statusPublished - 2014
Event12th International Conference on Computational Methods in Systems Biology, CMSB 2014 - Manchester, United Kingdom
Duration: 17 Nov 201419 Nov 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8859
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference12th International Conference on Computational Methods in Systems Biology, CMSB 2014
Country/TerritoryUnited Kingdom
CityManchester
Period17/11/201419/11/2014

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Fingerprint

Dive into the research topics of 'Using Process Algebra to Model Radiation Induced Bystander Effects'. Together they form a unique fingerprint.

Cite this