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Without programming their own WS client, users can analyze the behavior of cellular systems under various conditions.
To understand the dynamic behavior of cellular systems, mathematical modeling is often necessary and comprises three steps: (1) experimental measurement of participating molecules, (2) assignment of rate laws to each reaction, and (3) parameter calibration with respect to the measurements.
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The wireless data traffic of cellular system is soaring.
The network models represent the time behavior of the cellular system in a set of perturbation conditions as a series of coupled nonlinear ODEs (Nelander et al., 2008).
The key components of any GRN are transcription factors, with their combination shaping the phenotype of a single cell and the behavior of any cellular system.
We conduct a two-layer analysis to gain insights into the behavior of two layer cellular systems and to determine which material properties are most important for design.
Chaotic behavior of cellular flame structures is observed for certain values of UIN.
High-throughput protein identification in biological samples aids our understanding of complex cellular systems and their behavior.
The key goal is to mimic the biophysical behaviors of cellular filaments through a system of equations that is easy and fast to solve numerically, chiefly by not being stiff (i.e. prone to numerical instabilities).
Both phases are complex and require exquisite organization of multiple cellular systems, including interactions between proteins and cellular membranes.
These efforts, many of which are currently considered as contributions to Systems Biology, are aimed at understanding the underlying structure and behavior of biological systems at the molecular, cellular, organism, and habitat levels.
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