c12_dyn_mod_conc

c12_dyn_mod_conc - The two faces of network dynamics...

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The two faces of network dynamics olving network models describe the dynamics/assembly/evolution Evolving network models describe the dynamics/assembly/evolution of networks by the addition/removal of nodes and edges. It is possible to have network dynamics even if there are no ode/edge additions/removals i e the network is fixed This can be node/edge additions/removals, i.e. the network is fixed. This can be called dynamics on the network. many networks node attributes can change in time or depending on In many networks node attributes can change in time or depending on context. E.g. the abundance of chemicals in a chemical reaction network e health status of individuals in a disease contact network the health status of individuals in a disease contact network For these networks it is not enough to specify the nodes and edges, e also need to define a node tate e g a continuous variable or a we also need to define a node state ( e.g. a continuous variable, or a discrete category). Each node’s state is determined by the states of the nodes adjacent to it (in directed networks the orientation of the edges should be toward the regulated node).
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Understanding the dynamics and function of molecular/cellular networks Cells are complex systems functionally diverse elements ese elements’ abundances and activities change in time or these elements abundances and activities change in time or based on context diverse interactions that form networks ignal transduction gene regulatory metabolic signal transduction-, gene regulatory-, metabolic- have a function that needs to be performed ense and respond to the environment sense and respond to the environment maintain homeostasis need certain dynamical features sensitive to some changes, insensitive/adaptable to others robust to unwanted perturbations What is the relationship between the topological features of intracellular interaction networks and the dynamic behavior of cells?
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Toward network dynamics Network topology needs to be complemented by a description of network dynamics – states of the nodes and changes in the state First step - pseudo-dynamics : propagation of activation in interaction space, starting from a source (signal) This can only be done in directed networks. In effect we use topological analysis as a proxy for dynamic information on signal propagation. Q: What topological properties should be studied and what dynamic properties do they reflect?
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Pseudodynamic signal propagation Act., dist. 2 Act., dist. 4 Inh., dist 2
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Pseudodynamic effects of knockouts
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Forward and reverse dynamic modeling Dynamic modeling of interaction network:
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c12_dyn_mod_conc - The two faces of network dynamics...

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