Multi-scale computational modelling in biology and physiology

被引:121
|
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
来源
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
相关论文
共 50 条
  • [1] Multi-scale modelling in computational biomedicine
    Sloot, Peter M. A.
    Hoekstra, Alfons G.
    BRIEFINGS IN BIOINFORMATICS, 2010, 11 (01) : 142 - 152
  • [2] Multi-scale computational modeling of developmental biology
    Setty, Yaki
    BIOINFORMATICS, 2012, 28 (15) : 2022 - 2028
  • [3] Multi-scale modelling and simulation in systems biology
    Dada, Joseph O.
    Mendes, Pedro
    INTEGRATIVE BIOLOGY, 2011, 3 (02) : 86 - 96
  • [4] Multi-scale computational modelling of solidification phenomena
    Rafii-Tabar, H
    Chirazi, A
    PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2002, 365 (03): : 145 - 249
  • [5] Multi-scale computational modelling of flow and heat transfer
    Drikakis, Dimitris
    Asproulis, Nikolaos
    INTERNATIONAL JOURNAL OF NUMERICAL METHODS FOR HEAT & FLUID FLOW, 2010, 20 (05) : 517 - 528
  • [6] Computational Modelling of Multi-Physics and Multi-Scale Processes in Parallel
    Cross, M.
    Croft, T. N.
    Slone, A. K.
    Williams, A. J.
    Christakis, N.
    Patel, M. K.
    Bailey, C.
    Pericleous, K.
    INTERNATIONAL JOURNAL FOR COMPUTATIONAL METHODS IN ENGINEERING SCIENCE & MECHANICS, 2007, 8 (02): : 63 - 74
  • [7] An adaptive multi-scale computational modelling of Clare College Bridge
    Mihai, L. A.
    Ainsworth, Mark
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2009, 198 (21-26) : 1839 - 1847
  • [8] Multi-scale genetic dynamic modelling II: application to synthetic biology
    Kirkilionis, Markus
    Janus, Ulrich
    Sbano, Luca
    THEORY IN BIOSCIENCES, 2011, 130 (03) : 183 - 201
  • [9] 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
  • [10] Multi-scale modelling of the epileptic brain: advantages of computational therapy exploration
    Hong, Rongqi
    Zheng, Tingting
    Marra, Vincenzo
    Yang, Dongping
    Liu, Jian K.
    JOURNAL OF NEURAL ENGINEERING, 2024, 21 (02)