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Titlebook: Systems Biology; Definitions and Pers Lila Alberghina,H.V. Westerhoff Book 2005 Springer-Verlag Berlin Heidelberg 2005 In silico.Modelling.

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Mesoscopic kinetics and its applications in protein synthesis,d Crick 1953). Accordingly, molecular biology could be defined as the sum of all techniques used to perform genetic experiments by manipulating DNA. One consequence of the development of these techniques is large-scale sequencing of genomes from an ever increasing number of organisms. However, it be
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Mechanistic and modular approaches to modeling and inference of cellular regulatory networks,ve explanatory power at the system level. We will review work that combines quantitative measurements and mathematical and computational modeling of signaling networks to link molecular mechanisms to physiological responses. An emerging synergistic modeling approach is presented that uses novel appr
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Modeling the , cell: The need for computing, cooperation, and consortia,erstanding will require arrays of mathematical models, a wealth of data from measurements of various life processes, and readily accessible databases that can be interrogated for testing our understanding. Accomplishing this will require improved approaches for mathematical modeling, unprecedented s
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Metabolic flux analysis: A key methodology for systems biology of metabolism,omposition data, in vivo quantification of molecular fluxes through metabolic networks links genes and proteins to higher-level functions that result from biochemical and regulatory interactions between network components. By unraveling novel or unexpected pathways in microbes, metabolic flux analys
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Metabolic networks: biology meets engineering sciences, important part. Here, we use the example of sugar metabolism in the simple bacterium . and its associated control to illustrate the process of model development. Even for this well-characterized biological system, a close interaction between experimentation and theoretical analysis revealed novel,
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Integration of metabolic and signaling networks,ells. In the first part of the article, strategies for reconstruction of metabolic and signaling networks are outlined followed by a discussion of their characteristic properties. The second part focuses on the development of integrated models of metabolism and signal transduction. The case of yeast
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