Multi-scale computational modelling in biology and physiology

被引:122
作者
Southern, James [1 ]
Pitt-Francis, Joe [2 ]
Whiteley, Jonathan [2 ]
Stokeley, Daniel [3 ]
Kobashi, Hiromichi [4 ]
Nobes, Ross [1 ]
Kadooka, Yoshimasa [4 ]
Gavaghan, David [2 ]
机构
[1] Fujitsu Labs Europe Ltd, Hayes UB4 8FE, Middx, England
[2] Univ Oxford, Comp Lab, Oxford OX1 3QD, England
[3] Univ Oxford, Dept Biochem, Struct Bioinformat & Computat Biochem Lab, Oxford OX1 3QU, England
[4] Fujitsu Labs Ltd, Nakahara Ku, Kawasaki, Kanagawa 2118588, Japan
基金
英国工程与自然科学研究理事会;
关键词
mathematical modelling; simulation; multi-scale; multi-physics; cardiac modelling; ion channel;
D O I
10.1016/j.pbiomolbio.2007.07.019
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
Recent advances in biotechnology and the availability of ever more powerful computers have led to the formulation of increasingly complex models at all levels of biology. One of the main aims of systems biology is to couple these together to produce integrated models across multiple spatial scales and physical processes. In this review, we formulate a definition of multi-scale in terms of levels of biological organisation and describe the types of model that are found at each level. Key issues that arise in trying to formulate and solve multi-scale and multi-physics models are considered and examples of how these issues have been addressed are given for two of the more mature fields in computational biology: the molecular dynamics of ion channels and cardiac modelling. As even more complex models are developed over the coming few years, it will be necessary to develop new methods to model them (in particular in coupling across the interface between stochastic and deterministic processes) and new techniques will be required to compute their solutions efficiently on massively parallel computers. We outline how we envisage these developments occurring. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:60 / 89
页数:30
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