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: Methodsand 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. INDICE: 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 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 ThomasMaiwald, Oliver Eberhardt, Julie Blumberg 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 Ashok Prasad 11. Modeling Spatiotemporal Dynamics of Bacterial PopulationsHao Song and Lingchong You 12. Discrete Dynamic Modeling of Signal Transduction Networks Assieh Saddatpour and Réka Albert 13. Analytic Methods for Modeling Stochastic Regulatory Networks Aleksandra M. Walczak,Andrew Mugler, and Chris H. Wiggins
- ISBN: 978-1-61779-832-0
- Editorial: Humana
- Encuadernacion: Cartoné
- Fecha Publicación: 31/05/2012
- Nº Volúmenes: 1
- Idioma: Inglés