Modelling complex biological systems using an agent-based approachIn collaboration with the SysMO-SUMO consortium whose members are: K. Bettenbrock, M. Ederer, E. D. Gilles, S. Henkel, T. Sauter, O. Sawodny, S. Stagge, S. Steinsiek, J. Teixeira de Mattos and A. Ter Beek

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...

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Hauptverfasser: Holcombe, Mike, Adra, Salem, Bicak, Mesude, Chin, Shawn, Coakley, Simon, Graham, Alison I, Green, Jeffrey, Greenough, Chris, Jackson, Duncan, Kiran, Mariam, MacNeil, Sheila, Maleki-Dizaji, Afsaneh, McMinn, Phil, Pogson, Mark, Poole, Robert, Qwarnstrom, Eva, Ratnieks, Francis, Rolfe, Matthew D, Smallwood, Rod, Sun, Tao, Worth, David
Format: Artikel
Sprache:eng
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Zusammenfassung: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. New advances in modelling technology allow for highly detailed and realistic simulations of many biological systems.
ISSN:1757-9694
1757-9708
DOI:10.1039/c1ib00042j