Research output

Conference Paper (in Formal Publication) ()

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 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.

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
EditorMendes P, Dada JO, Smallbone K
AuthorsLintott Rachel, McMahon Stephen, Prise Kevin, Addie-Lagorio Celine, Shankland Carron
Title of seriesLecture Notes in Computer Science
Number in series8859
Publication date2014
Date of public distribution11/2014
URLhttp://link.springer.com/…3-319-12982-2_14
PublisherSpringer International Publishing
Place of publicationCham, Switzerland
ISSN of series 0302-9743
ISBN 978-3-319-12981-5
LanguageEnglish

Journal
Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2014)

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