The Experts below are selected from a list of 56547 Experts worldwide ranked by ideXlab platform
Carsten Conradi - One of the best experts on this subject based on the ideXlab platform.
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subNetwork analysis for multistationarity in mass action kinetics
Journal of Physics: Conference Series, 2008Co-Authors: Dietrich Flockerzi, Carsten ConradiAbstract:Since quantitative knowledge of the complex (bio)chemical reaction Networks is often very limited, formal methods that Connect Network structure and dynamic behavior are needed in mathematical modeling and analysis. Feinberg's Chemical Reaction Network Theory allows for the classification of the potential Network behavior, for instance, with respect to the existence of multiple steady states, but is computationally limited to small systems. Here, we show that by analyzing subNetworks associated to stoichiometric generators, the applicability of the theory can be extended to more complex Networks. Moreover, based on mild conditions regarding multiststionarity of such subNetworks, we present an algorithm which establishes multistationarity in the overall Network. For example-Networks inspired by cell cycle control in budding yeast, the approach allows for identification of key mechanisms for multistationarity, for model discrimination and for robustness analysis. The present paper continues and extends our work that has appeared in PNAS (cf. [6]).
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subNetwork analysis reveals dynamic features of complex bio chemical Networks
Proceedings of the National Academy of Sciences of the United States of America, 2007Co-Authors: Carsten Conradi, Dietrich Flockerzi, Jorg Raisch, Jorg StellingAbstract:In analyzing and mathematical modeling of complex (bio)chemical reaction Networks, formal methods that Connect Network structure and dynamic behavior are needed because often, quantitative knowledge of the Networks is very limited. This applies to many important processes in cell biology. Chemical reaction Network theory allows for the classification of the potential Network behavior—for instance, with respect to the existence of multiple steady states—but is computationally limited to small systems. Here, we show that by analyzing subNetworks termed elementary flux modes, the applicability of the theory can be extended to more complex Networks. For an example Network inspired by cell cycle control in budding yeast, the approach allows for model discrimination, identification of key mechanisms for multistationarity, and robustness analysis. The presented methods will be helpful in modeling and analyzing other complex reaction Networks.
Dietrich Flockerzi - One of the best experts on this subject based on the ideXlab platform.
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subNetwork analysis for multistationarity in mass action kinetics
Journal of Physics: Conference Series, 2008Co-Authors: Dietrich Flockerzi, Carsten ConradiAbstract:Since quantitative knowledge of the complex (bio)chemical reaction Networks is often very limited, formal methods that Connect Network structure and dynamic behavior are needed in mathematical modeling and analysis. Feinberg's Chemical Reaction Network Theory allows for the classification of the potential Network behavior, for instance, with respect to the existence of multiple steady states, but is computationally limited to small systems. Here, we show that by analyzing subNetworks associated to stoichiometric generators, the applicability of the theory can be extended to more complex Networks. Moreover, based on mild conditions regarding multiststionarity of such subNetworks, we present an algorithm which establishes multistationarity in the overall Network. For example-Networks inspired by cell cycle control in budding yeast, the approach allows for identification of key mechanisms for multistationarity, for model discrimination and for robustness analysis. The present paper continues and extends our work that has appeared in PNAS (cf. [6]).
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subNetwork analysis reveals dynamic features of complex bio chemical Networks
Proceedings of the National Academy of Sciences of the United States of America, 2007Co-Authors: Carsten Conradi, Dietrich Flockerzi, Jorg Raisch, Jorg StellingAbstract:In analyzing and mathematical modeling of complex (bio)chemical reaction Networks, formal methods that Connect Network structure and dynamic behavior are needed because often, quantitative knowledge of the Networks is very limited. This applies to many important processes in cell biology. Chemical reaction Network theory allows for the classification of the potential Network behavior—for instance, with respect to the existence of multiple steady states—but is computationally limited to small systems. Here, we show that by analyzing subNetworks termed elementary flux modes, the applicability of the theory can be extended to more complex Networks. For an example Network inspired by cell cycle control in budding yeast, the approach allows for model discrimination, identification of key mechanisms for multistationarity, and robustness analysis. The presented methods will be helpful in modeling and analyzing other complex reaction Networks.
Jorg Stelling - One of the best experts on this subject based on the ideXlab platform.
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subNetwork analysis reveals dynamic features of complex bio chemical Networks
Proceedings of the National Academy of Sciences of the United States of America, 2007Co-Authors: Carsten Conradi, Dietrich Flockerzi, Jorg Raisch, Jorg StellingAbstract:In analyzing and mathematical modeling of complex (bio)chemical reaction Networks, formal methods that Connect Network structure and dynamic behavior are needed because often, quantitative knowledge of the Networks is very limited. This applies to many important processes in cell biology. Chemical reaction Network theory allows for the classification of the potential Network behavior—for instance, with respect to the existence of multiple steady states—but is computationally limited to small systems. Here, we show that by analyzing subNetworks termed elementary flux modes, the applicability of the theory can be extended to more complex Networks. For an example Network inspired by cell cycle control in budding yeast, the approach allows for model discrimination, identification of key mechanisms for multistationarity, and robustness analysis. The presented methods will be helpful in modeling and analyzing other complex reaction Networks.
Jorg Raisch - One of the best experts on this subject based on the ideXlab platform.
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subNetwork analysis reveals dynamic features of complex bio chemical Networks
Proceedings of the National Academy of Sciences of the United States of America, 2007Co-Authors: Carsten Conradi, Dietrich Flockerzi, Jorg Raisch, Jorg StellingAbstract:In analyzing and mathematical modeling of complex (bio)chemical reaction Networks, formal methods that Connect Network structure and dynamic behavior are needed because often, quantitative knowledge of the Networks is very limited. This applies to many important processes in cell biology. Chemical reaction Network theory allows for the classification of the potential Network behavior—for instance, with respect to the existence of multiple steady states—but is computationally limited to small systems. Here, we show that by analyzing subNetworks termed elementary flux modes, the applicability of the theory can be extended to more complex Networks. For an example Network inspired by cell cycle control in budding yeast, the approach allows for model discrimination, identification of key mechanisms for multistationarity, and robustness analysis. The presented methods will be helpful in modeling and analyzing other complex reaction Networks.
Thomas Morris - One of the best experts on this subject based on the ideXlab platform.
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discovery infiltration and denial of service in a process control system wireless Network
2009 eCrime Researchers Summit, 2009Co-Authors: Bradley Reaves, Thomas MorrisAbstract:Process control systems and Supervisory Control and Data Acquisition (SCADA) systems use computers to control physical processes in many critical industries including electric power generation, electric power distribution, gas pipelines, waste treatment, water distribution, and many others. Because process control systems can be spread over large distances, wired Connections become infeasible. Commercially available wireless radios are often used in place of wires to Connect Network nodes. In this paper we provide an overview of process control systems, discuss how process control systems differ from Networks commonly found in the information technology domain, demonstrate the ability to detect and infiltrate a wireless radio Network used in control systems, and finally, detail a denial of service attack against a process control system. This attack denies feedback from nodes monitoring the controlled physical process and is therefore a dangerous cyber-attack.