Engineering simulations for cancer systems biology

James L. Bown, Paul S. Andrews, Yusuf Y. Deeni, Alexey Goltsov, Michael A. Idowu, Fiona A.C. Polac, Adam T. Sampson, Mark Shovman, Susan Stepney

Research output: Contribution to journalArticle

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Abstract

Computer simulation can be used to inform in vivo and in vitro experimentation, enabling rapid, low-cost hypothesis generation and directing experimental design in order to test those hypotheses. In this way, in silico models become a scientific instrument for investigation, and so should be developed to high standards, be carefully calibrated and their findings presented in such that they may be reproduced. Here, we outline a framework that supports developing simulations as scientific instruments, and we select cancer systems biology as an exemplar domain, with a particular focus on cellular signalling models. We consider the challenges of lack of data, incomplete knowledge and modelling in the context of a rapidly changing knowledge base. Our framework comprises a process to clearly separate scientific and engineering concerns in model and simulation development, and an argumentation approach to documenting models for rigorous way of recording assumptions and knowledge gaps. We propose interactive, dynamic visualisation tools to enable the biological community to interact with cellular signalling models directly for experimental design. There is a mismatch in scale between these cellular models and tissue structures that are affected by tumours, and bridging this gap requires substantial computational resource. We present concurrent programming as a technology to link scales without losing important details through model simplification. We discuss the value of combining this technology, interactive visualisation, argumentation and model separation to support development of multi-scale models that represent biologically plausible cells arranged in biologically plausible structures that model cell behaviour, interactions and response to therapeutic interventions.
Original languageEnglish
Pages (from-to)1560-1574
Number of pages15
JournalCurrent Drug Targets
Volume13
Issue number12
DOIs
Publication statusPublished - Nov 2012

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Cell signaling
Design of experiments
Visualization
Systems Biology
Model structures
Tumors
Tissue
Computer simulation
Costs
Biota

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Bown, J. L., Andrews, P. S., Deeni, Y. Y., Goltsov, A., Idowu, M. A., Polac, F. A. C., ... Stepney, S. (2012). Engineering simulations for cancer systems biology. Current Drug Targets, 13(12), 1560-1574. https://doi.org/10.2174/138945012803530071
Bown, James L. ; Andrews, Paul S. ; Deeni, Yusuf Y. ; Goltsov, Alexey ; Idowu, Michael A. ; Polac, Fiona A.C. ; Sampson, Adam T. ; Shovman, Mark ; Stepney, Susan. / Engineering simulations for cancer systems biology. In: Current Drug Targets. 2012 ; Vol. 13, No. 12. pp. 1560-1574.
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Bown, JL, Andrews, PS, Deeni, YY, Goltsov, A, Idowu, MA, Polac, FAC, Sampson, AT, Shovman, M & Stepney, S 2012, 'Engineering simulations for cancer systems biology', Current Drug Targets, vol. 13, no. 12, pp. 1560-1574. https://doi.org/10.2174/138945012803530071

Engineering simulations for cancer systems biology. / Bown, James L.; Andrews, Paul S.; Deeni, Yusuf Y.; Goltsov, Alexey; Idowu, Michael A.; Polac, Fiona A.C.; Sampson, Adam T.; Shovman, Mark; Stepney, Susan.

In: Current Drug Targets, Vol. 13, No. 12, 11.2012, p. 1560-1574.

Research output: Contribution to journalArticle

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AU - Polac, Fiona A.C.

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Bown JL, Andrews PS, Deeni YY, Goltsov A, Idowu MA, Polac FAC et al. Engineering simulations for cancer systems biology. Current Drug Targets. 2012 Nov;13(12):1560-1574. https://doi.org/10.2174/138945012803530071