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Modeling and evolving biochemical networks: insights into communication and computation from the biological domain

Decraene, James and Mitchell, George G. and McMullin, Barry (2008) Modeling and evolving biochemical networks: insights into communication and computation from the biological domain. In: CIICT 2008: China-Ireland International Conference on Information and Communications Technologies, 26-28 September 2008, Beijing, China. ISBN 9780863419218

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Abstract

This paper is concerned with the modeling and evolving of Cell Signaling Networks (CSNs) in silico. CSNs are complex biochemical networks responsible for the coordination of cellular activities. We examine the possibility to computationally evolve and simulate Artificial Cell Signaling Networks (ACSNs) by means of Evolutionary Computation techniques. From a practical point of view, realizing and evolving ACSNs may provide novel computational paradigms for a variety of application areas. For example, understanding some inherent properties of CSNs such as crosstalk may be of interest: A potential benefit of engineering crosstalking systems is that it allows the modification of a specific process according to the state of other processes in the system. This is clearly necessary in order to achieve complex control tasks. This work may also contribute to the biological understanding of the origins and evolution of real CSNs. An introduction to CSNs is first provided, in which we describe the potential applications of modeling and evolving these biochemical networks in silico. We then review the different classes of techniques to model CSNs, this is followed by a presentation of two alternative approaches employed to evolve CSNs within the ESIGNET project. Results obtained with these methods are summarized and discussed.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Additional Information:Pages 235-239
Subjects:Computer Science > Artificial intelligence
Engineering > Artificial life
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > Research Institute for Networks and Communications Engineering (RINCE)
Published in:IET Conference Publications, 2008, 235. . Institution of Engineering and Technology . ISBN 9780863419218
Publisher:Institution of Engineering and Technology
Official URL:http://dx.doi.org/10.1049/cp:20080798
Copyright Information:© 2008 Institution of Engineering and Technology
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:4593
Deposited On:08 Jun 2009 14:09 by James Decraene. Last Modified 08 Jun 2009 14:09

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