Modelling complex biological systems using an agent-based approach

被引:48
作者
Holcombe, Mike [1 ]
Adra, Salem [1 ]
Bicak, Mesude [1 ]
Chin, Shawn [5 ]
Coakley, Simon [1 ]
Graham, Alison I. [3 ]
Green, Jeffrey [3 ]
Greenough, Chris [5 ]
Jackson, Duncan [7 ]
Kiran, Mariam [1 ]
MacNeil, Sheila [6 ]
Maleki-Dizaji, Afsaneh [1 ]
McMinn, Phil [1 ]
Pogson, Mark [1 ]
Poole, Robert [3 ]
Qwarnstrom, Eva [2 ]
Ratnieks, Francis [4 ]
Rolfe, Matthew D. [3 ]
Smallwood, Rod [1 ]
Sun, Tao [6 ]
Worth, David [5 ]
机构
[1] Univ Sheffield, Dept Comp Sci, Sheffield S10 2TN, S Yorkshire, England
[2] Univ Sheffield, Sch Med, Dept Cell Biol, Sheffield S10 2TN, S Yorkshire, England
[3] Univ Sheffield, Dept Mol Biol & Biotechnol, Sheffield S10 2TN, S Yorkshire, England
[4] Univ Sussex, Dept Biol & Environm Sci, Brighton BN1 9RH, E Sussex, England
[5] STFC, Rutherford Appleton Lab, Software Engn Grp, Oxford, Oxfordshire OX11 0QX, England
[6] Univ Sheffield, Dept Mat Engn, Sheffield S10 2TN, S Yorkshire, England
[7] Univ Ulster, Dept Comp & Engn, Coleraine BT52 1SA, Londonderry, North Ireland
基金
英国工程与自然科学研究理事会; 英国生物技术与生命科学研究理事会;
关键词
2-COMPONENT SYSTEM;
D O I
10.1039/c1ib00042j
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Many of the complex systems found in biology are comprised of numerous components, where interactions between individual agents result in the emergence of structures and function, typically in a highly dynamic manner. Often these entities have limited lifetimes but their interactions both with each other and their environment can have profound biological consequences. We will demonstrate how modelling these entities, and their interactions, can lead to a new approach to experimental biology bringing new insights and a deeper understanding of biological systems.
引用
收藏
页码:53 / 64
页数:12
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