Systems Biology. A Textbook. 2nd Edition

  • ID: 3610173
  • Book
  • 504 Pages
  • John Wiley and Sons Ltd
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This advanced textbook is tailored for an introductory course in Systems Biology and is well–suited for biologists as well as engineers and computer scientists.

It comes with student–friendly reading lists and a companion website featuring a short exam prep version of the book and educational modeling programs. The text is written in an easily accessible style and includes numerous worked examples and study questions in each chapter. For this edition, a section on medical systems biology has been included.

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Modeling of Biochemical Systems

Structural Modeling and Analysis of Biochemical Networks

Kinetic Models of Biochemical Networks Introduction

Data Formats, Simulation Techniques, and Modeling Tools

Model Fitting, Reduction, and Coupling

Discrete, Stochastic, and Spatial Models

Network Structures, Dynamics and Function

Gene Expression Models

Variability, Robustness, and Information

Evolution and Optimality

Models of Biochemical Systems


Cell Biology

Experimental Techniques

Mathematical and Physical Concepts


Software Tools for Modeling

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Edda Klipp (born 1965) studied theoretical biophysics at the Humboldt University Berlin. A member of the Yeast Systems Biology Network, her research interests include mathematical modeling of cellular systems, signal transduction, systems biology, and text mining.

Wolfram Liebermeister (born 1972) studied physics in Tübingen and Hamburg and obtained a PhD of theoretical biophysics at the Humboldt University of Berlin. In his works on complex biological systems, he points out functional aspects like variability, information, and optimality.

Christoph Wierling (born 1973) studied biology at the University of Münster and recently obtained a PhD degree on the modeling and simulation of biological systems.

Axel Kowald (born 1963) holds a PhD in mathematical biology from the National Institute for Medical Research, London. His current research interests focus on the mathematical modeling of processes involved in the biology of aging and systems biology.
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