NDLI: A Novel Approach for Signal Transduction Networks Simulation at a Mesoscopic Level

Content Provider	IEEE Xplore Digital Library
Author	Chenxi Shao Hongli Deng
Copyright Year	2007
Description	Author affiliation: Univ. of Sci. & Technol. of China, Hefei (Chenxi Shao; Hongli Deng)
Abstract	Signal transduction (ST) networks simulation is important to medical research. However, owing to the complexity of the networks, most methods presented for the simulation are not desirable. Here, based on multi-agent system (MAS), we proposed a novel approach characterized by a multi-level discrete space and mesoscopic molecule-agents for describing ST networks at a mesoscopic level. The space is developed for the representation of the cellular space; it provides a relatively sufficient spatial representation with less computational cost. The mesoscopic molecule-agents model the active components within the networks, which will offer new potentials to overcome the combinatorial complexity as well as make computation feasible. To validate this method, the simulations of a composition/decomposition system and the Mitogen-Activated Protein Kinase (MAPK) signal transduction pathway are implemented. Finally, an in-silico experiment with perturbation in the MAPK pathway is made. The results obtained from the simulations demonstrate the validity of the approach.
Starting Page	487
Ending Page	494
File Size	3084518
Page Count	8
File Format	PDF
ISBN	9781424415090
DOI	10.1109/BIBE.2007.4375606
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Laboratories Computer networks Computational efficiency Computer simulation Multimedia computing Medical simulation Proteins Diseases Predictive models
Content Type	Text
Resource Type	Article

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