Betterton / Liu | Computational Modeling of Signaling Networks | Buch | 978-1-61779-832-0 | www.sack.de

Buch, Englisch, Band 880, 327 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 845 g

Reihe: Methods in Molecular Biology

Betterton / Liu

Computational Modeling of Signaling Networks


2012
ISBN: 978-1-61779-832-0
Verlag: Humana Press

Buch, Englisch, Band 880, 327 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 845 g

Reihe: Methods in Molecular Biology

ISBN: 978-1-61779-832-0
Verlag: Humana Press


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.

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.

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Weitere Infos & Material


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
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4. Bistability in one Equation or Fewer
Graham A. Anderson Xuedong Liu James E. Ferrell, Jr.
 5. Mathematical Investigation of How Oncogenic Ras Mutants Promote Ras Signaling
Edward C. Stites and Kodi S. Ravichandran
 6. Modelling miRNA Regulation in Cancer Signalling Systems. miR-34a Regulation of the p53/Sirt1 Signalling Module
Xin Lai, Olaf Wolkenhauer, and Julio Vera
7. Design of Experiments to Investigate Dynamic Cell Signaling Models
Samuel Bandara and Tobias Meyer
 8. Mathematical Modeling of Biochemical Systems with PottersWheel
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 9. Rule-Based Modeling of Signal Transduction: APrimer
John A.P. Sekar and James R. Faeder
10. Computational Modeling of Signal Transduction Networks: A Pedagogical Exposition
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 12. Discrete Dynamic Modeling of Signal Transduction Networks
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 13. Analytic Methods for Modeling Stochastic Regulatory Networks
Aleksandra M. Walczak,Andrew Mugler,  and Chris H. Wiggins



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