Please use this identifier to cite or link to this item: http://buratest.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 SizeFormat 
FullText.pdf1.69 MBAdobe PDFView/Open


Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.