Multi-scale modelling and simulation in systems biology

被引：124

作者：

Dada, Joseph O. ^{[1
,2
]}

Mendes, Pedro ^{[1
,2
,3
]}

机构：

[1] Manchester Ctr Integrat Syst Biol, Manchester M1B, Lancs, England

[2] Univ Manchester, Sch Comp Sci, Manchester M13 9PL, Lancs, England

[3] Virginia Tech, Virginia Bioinformat Inst, Blacksburg, VA USA

来源：

INTEGRATIVE BIOLOGY | 2011年 / 3卷 / 02期

基金：

英国生物技术与生命科学研究理事会;

关键词：

BIOCHEMICAL NETWORK MODELS; AVASCULAR TUMOR-GROWTH; AGENT-BASED SIMULATION; IUPS PHYSIOME PROJECT; MATHEMATICAL-MODEL; MARKUP LANGUAGE; CANCER; HEART; SCALE; DYNAMICS;

D O I：

10.1039/c0ib00075b

中图分类号：

Q2 [细胞生物学];

学科分类号：

071009 ; 090102 ;

摘要：

The aim of systems biology is to describe and understand biology at a global scale where biological functions are recognised as a result of complex mechanisms that happen at several scales, from the molecular to the ecosystem. Modelling and simulation are computational tools that are invaluable for description, prediction and understanding these mechanisms in a quantitative and integrative way. Therefore the study of biological functions is greatly aided by multi-scale methods that enable the coupling and simulation of models spanning several spatial and temporal scales. Various methods have been developed for solving multi-scale problems in many scientific disciplines, and are applicable to continuum based modelling techniques, in which the relationship between system properties is expressed with continuous mathematical equations or discrete modelling techniques that are based on individual units to model the heterogeneous microscopic elements such as individuals or cells. In this review, we survey these multi-scale methods and explore their application in systems biology.

引用

页码：86 / 96

页数：11

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