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http://bura.brunel.ac.uk/handle/2438/10472| Title: | BioModel engineering for multiscale Systems Biology |
| Authors: | Heiner, M Gilbert, D |
| Keywords: | BioModel engineering;Multiscale modelling;Systems Biology;Synthetic Biology;Biomolecular networks;Coloured qualitative/stochastic/continuous/hybrid Petri nets;Model checking |
| Issue Date: | 2013 |
| Citation: | Progress in Biophysics and Molecular Biology, 111, pp. 119-128, 2013. |
| Abstract: | We discuss some motivational challenges arising from the need to model and analyse complex biological systems at multiple scales (spatial and temporal), and present a biomodel engineering framework to address some of these issues within the context of multiscale Systems Biology. Our methodology is based on a structured family of Petri net classes which enables the investigation of a given system using various modelling abstractions: qualitative, stochastic, continuous and hybrid, optionally in a spatial context. We illustrate our approach with case studies demonstrating hierarchical flattening, treatment of space, and hierarchical organisation of space. © 2012 Elsevier Ltd. All rights reserved. |
| Description: | This article has been made available through the Brunel Open Access Publishing Fund. |
| URI: | http://bura.brunel.ac.uk/handle/2438/10472 |
| DOI: | http://dx.doi.org/10.1016/j.pbiomolbio.2012.10.001 |
| ISSN: | 0079-6107 |
| Appears in Collections: | Brunel OA Publishing Fund Dept of Computer Science Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 1.69 MB | Adobe PDF | View/Open |
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