Signaling networks are composed of numerous signaling pathways and each has its own intricate component parts. Signaling outputs are dynamic, extraordinarily complex and yet highly specific.? In, Computational Modeling of Signaling Networks: Methods and Protocols, expert researchers in the field provide key techniques to study signaling networks. Focusing on Systems of ODEs, parameterization of signaling models, signaling pathways, mass-action kinetics and ODEs, and how to use modeling to plan experiments. Written in the highly successful Methods in Molecular Biology series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory.
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Thorough and intuitive, Computational Modeling of Signaling Networks: Methods and Protocols aids scientists in continuing study of how signaling networks behave in space and time to generate specific biological responses? and how those responses impact biology and medicine.
Focusing on Systems of ODEs, parameterization of signaling models, signaling pathways, mass-action kinetics and ODEs and how to use modeling to plan experiments, this Methods in Molecular Biology book details steps for getting optimal laboratory results.
1. Predictive Models for Cellular Signaling Networks
Dagmar Iber and Georgios Fengos
2. Analysing and Contraining Signaling Networks: Parameter Estimation
Florian Geir, Georgios Fengos, Federico Felizzi, Dagmar Iber
3. A Tutorial on Mathematical Modeling of Biological Signaling Pathways
Zhike Zi?
4. Bistability in one Equation or Fewer
Graham A. Anderson Xuedong Liu James E. Ferrell, Jr.
?5. Mathematical Investigation of How Oncogenic Ras Mutantsl6
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