Examining Tissue Differentiation Stability through Large Scale, Multi-Cellular Pathway Modeling

	Nanotech 2005 Vol. 1 Technical Proceedings of the 2005 NSTI Nanotechnology Conference and Trade Show, Volume 1 Chapter 9: Computational Biology
	Examining Tissue Differentiation Stability through Large Scale, Multi-Cellular Pathway Modeling
Authors:	R.L. Schiek and E.M. May
Affilation:	Sandia National Laboratories, US
Pages:	516 - 519
Keywords:	genetic metabolic network, cellular differentiation
Abstract:	Using a multi-cellular, pathway model approach, we investigate the Drosophila sp. segmental differentiation network's stability as a function of initial conditions. While this network's functionality has been investigated in the absence of noise, this is the first work to specifically investigate how natural systems respond to random errors or nosie. Our findings agree with earlier results that the overall network is robust in the absence of noise. However, when one includes random initial perturbations in intracellular protein WG levels, the robustness of the system decreases dramatically. The effect of noise on the system is not linear, and appears to level out at high noise levels.
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ISBN:	0-9767985-0-6
Pages:	844
Hardcopy:	$109.95

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