Computational Modeling of Signaling Networks
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Computational Modeling of Signaling Networks

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Description

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 (TM) 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.show more

Product details

  • Hardback | 327 pages
  • 180.34 x 254 x 25.4mm | 725.74g
  • Humana Press Inc.
  • Totowa, NJ, United States
  • English
  • 2012 ed.
  • 13 Tables, black and white; XIV, 327 p. 75 illus., 10 illus. in color.
  • 1617798320
  • 9781617798320
  • 1,431,252

Back cover copy

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(TM) 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.show more

Table of contents

1. Predictive Models for Cellular Signaling NetworksDagmar Iber and Georgios Fengos2. Analysing and Contraining Signaling Networks: Parameter Estimation Florian Geir, Georgios Fengos, Federico Felizzi, Dagmar Iber3. A Tutorial on Mathematical Modeling of Biological Signaling PathwaysZhike Zi 4. Bistability in one Equation or FewerGraham A. Anderson Xuedong Liu James E. Ferrell, Jr. 5. Mathematical Investigation of How Oncogenic Ras Mutants Promote Ras SignalingEdward 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 Vera7. Design of Experiments to Investigate Dynamic Cell Signaling ModelsSamuel Bandara and Tobias Meyer 8. Mathematical Modeling of Biochemical Systems with PottersWheel Thomas Maiwald, Oliver Eberhardt, Julie Blumberg 9. Rule-Based Modeling of Signal Transduction: APrimerJohn A.P. Sekar and James R. Faeder10. Computational Modeling of Signal Transduction Networks: A Pedagogical ExpositionAshok Prasad 11. Modeling Spatiotemporal Dynamics of Bacterial PopulationsHao Song and Lingchong You 12. Discrete Dynamic Modeling of Signal Transduction NetworksAssieh Saddatpour and Reka Albert 13. Analytic Methods for Modeling Stochastic Regulatory NetworksAleksandra M. Walczak,Andrew Mugler, and Chris H. Wigginsshow more