Using Process Algebra to Model Radiation Induced Bystander Effects
Data(s) |
2014
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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://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 |