NDLI: Multi-Target Identification in Intracellular Regulation Networks

Content Provider	IEEE Xplore Digital Library
Author	Zhou Tong Li Shao
Copyright Year	2007
Description	Author affiliation: Tsinghua Univ., Beijing (Zhou Tong; Li Shao)
Abstract	In this paper, an algorithm is proposed for identifying desirable multi-targets in an intracellular regulation network. The major ideas are based on constrained state feedback and Monte-Carlo simulations. The computational complexity of the algorithm increases linearly with increasing species number in a gene regulation system. An estimate is derived for the confidence level of the predicted minimal required perturbation strength when targets are prescribed a priori. The algorithm has been applied to the analysis of the cell cycle of Xenopus frog eggs. It is found that the analysis results agree well with the available results for single target perturbations, and multi-target interference is usually not equal to the summation of single-target interferences.
Starting Page	112
Ending Page	116
File Size	262251
Page Count	5
File Format	PDF
ISBN	9787811240559
DOI	10.1109/CHICC.2006.4347194
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Drugs State feedback Monte Carlo method Automation Intracellular regulation network Pharmaceutical technology Interference Constrained state feedback Nonlinear dynamical systems Computational complexity Diseases Systematics Uniform distribution Cell cycle Drug discovery Biomedical imaging
Content Type	Text
Resource Type	Article

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