"Systems Biology" hat sich in der Neuauflage zu einem großformatigen Lehrbuch mit einem in vielen Punkten verbesserten Layout und professionellen Illustrationen entwickelt. Die Website enthält sämtliche Abbildungen sowie eine Buchzusammenfassung für die Examensvorbereitung. Hinzugekommen ist auch ein Abschnitt zur medizinischen Systembiologie.

Auteur
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 Tubingen 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 Munster 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.

Résumé

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.

Contenu
INTRODUCTION TO SYSTEM BIOLOGY
Introduction
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

REFERENCE SECTION
Cell Biology
Experimental Techniques
Mathematical and Physical Concepts
Databases
Software Tools for Modeling