Multi-scale modelling and simulation in systems biology

被引:122
|
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
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
收藏
页码:86 / 96
页数:11
相关论文
共 50 条
  • [1] Multi-scale modelling to synergise Plant Systems Biology and Crop Science
    Chew, Yin Hoon
    Seaton, Daniel D.
    Millar, Andrew J.
    FIELD CROPS RESEARCH, 2017, 202 : 77 - 83
  • [2] Multi-scale computational modelling in biology and physiology
    Southern, James
    Pitt-Francis, Joe
    Whiteley, Jonathan
    Stokeley, Daniel
    Kobashi, Hiromichi
    Nobes, Ross
    Kadooka, Yoshimasa
    Gavaghan, David
    PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY, 2008, 96 (1-3): : 60 - 89
  • [3] Multi-scale Simulation of Discrete Systems With Multi-scale Supercomputer
    Ge, Wei
    Li, Jinghai
    POWDERS AND GRAINS 2013, 2013, 1542 : 153 - 156
  • [4] Multi-bio and multi-scale systems biology
    Henney, Adriano
    Hunter, Peter
    McCulloch, Andrew
    Noble, Denis
    PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY, 2015, 117 (01): : 1 - 3
  • [5] MULTI-SCALE MODELING AND SYSTEMS BIOLOGY OF THE HEART
    McCulloch, Andrew D.
    Kerckhoffs, Roy C.
    Stuart, Campbell G.
    Feala, Jacob
    Paternostro, Giovanni
    JOURNAL OF PHYSIOLOGICAL SCIENCES, 2009, 59 : 47 - 47
  • [6] Systems Biology and Multi-Scale Modeling of the Heart
    McCulloch, Andrew D.
    2009 FIRST ANNUAL ORNL BIOMEDICAL SCIENCE & ENGINEERING CONFERENCE: EXPLORING THE INTERSECTIONS OF INTERDISCIPLINARY BIOMEDICAL RESEARCH, 2009, : 22 - 24
  • [7] Multi-scale and Reduced Modelling of Biological Systems
    Barbulescu, Ruxandra
    Ioan, Daniel
    2015 9TH INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING (ATEE), 2015, : 597 - 602
  • [8] Multi-scale Modelling of Electrochemically Promoted Systems
    Fragkopoulos, Ioannis S.
    Theodoropoulos, Constantinos
    ELECTROCHIMICA ACTA, 2014, 150 : 232 - 244
  • [9] Editorial overview: Systems biology: Advances in multi-scale systems biology applications
    Sourjik, Victor
    Metallo, Christian
    CURRENT OPINION IN BIOTECHNOLOGY, 2014, 28 : VI - VIII
  • [10] Multi-scale modelling and simulation of textile reinforced materials
    Haasemann, G.
    Kaestner, M.
    Ulbricht, V.
    CMC-COMPUTERS MATERIALS & CONTINUA, 2006, 3 (03): : 131 - 145