Using Process Algebra to Model Radiation Induced Bystander Effects


Autoria(s): Lintott, Rachel; McMahon, Stephen; Prise, Kevin; Addie-Lagorio, Celine; Shankland, Carron
Data(s)

2014

Resumo

<p>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.</p>

Identificador

http://pure.qub.ac.uk/portal/en/publications/using-process-algebra-to-model-radiation-induced-bystander-effects(c3324933-4a12-41f6-972a-f30bfc270595).html

http://dx.doi.org/10.1007/978-3-319-12982-2

http://www.scopus.com/inward/record.url?scp=84910115909&partnerID=8YFLogxK

Idioma(s)

eng

Publicador

Springer-Verlag

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

Lintott , R , McMahon , S , Prise , K , Addie-Lagorio , C & Shankland , C 2014 , Using Process Algebra to Model Radiation Induced Bystander Effects . in Computational Methods in Systems Biology: 12th International Conference, CMSB 2014, Manchester, UK, November 17-19, 2014, Proceedings . vol. 8859 , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol. 8859 , Springer-Verlag , pp. 196-210 , 12th International Conference on Computational Methods in Systems Biology, CMSB 2014 , Manchester , United Kingdom , 17-19 November . DOI: 10.1007/978-3-319-12982-2

Palavras-Chave #/dk/atira/pure/subjectarea/asjc/1700 #Computer Science(all) #/dk/atira/pure/subjectarea/asjc/2600/2614 #Theoretical Computer Science
Tipo

contributionToPeriodical