BioModel engineering for multiscale Systems Biology

被引：25

作者：

Heiner, Monika ^{[1
]}

Gilbert, David ^{[2
]}

机构：

[1] Brandenburg Tech Univ Cottbus, Dept Comp Sci, D-03013 Cottbus, Germany

[2] Brunel Univ, Sch Informat Syst Comp & Math, Uxbridge UB8 3PH, Middx, England

来源：

PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY | 2013年 / 111卷 / 2-3期

基金：

英国工程与自然科学研究理事会;

关键词：

BioModel engineering; Multiscale modelling; Systems Biology; Synthetic Biology; Biomolecular networks; Coloured qualitative/stochastic/continuous/hybrid; Petri nets; Model checking; PETRI NETS; BIOCHEMICAL NETWORKS; PATHWAYS; FRAMEWORK; MODELS;

D O I：

10.1016/j.pbiomolbio.2012.10.001

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

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. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：119 / 128

页数：10

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