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Praise for the first edition:

. superb, beautifully written and organized work that takes an engineering approach to systems biology. Alon provides nicely written appendices to explain the basic mathematical and biological concepts clearly and succinctly without interfering with the main text. He starts with a mathematical description of transcriptional activation and then describes some basic transcription-network motifs (patterns) that can be combined to form larger networks. - Nature

[This text deserves] serious attention from any quantitative scientist who hopes to learn about modern biology . It assumes no prior knowledge of or even interest in biology . One final aspect that must be mentioned is the wonderful set of exercises that accompany each chapter. . Alon's book should become a standard part of the training of graduate students. - Physics Today

Written for students and researchers, the second edition of this best-selling textbook continues to offer a clear presentation of design principles that govern the structure and behavior of biological systems. It highlights simple, recurring circuit elements that make up the regulation of cells and tissues. Rigorously classroom-tested, this edition includes new chapters on exciting advances made in the last decade.

Features:

Includes seven new chapters
The new edition has 189 exercises, the previous edition had 66
Offers new examples relevant to human physiology and disease



Table of Contents
Part One: Network Motifs

Chapter 1. Transcription Networks basic concepts

Chapter 2. Autoregulation

Chapter 3. The Feed Forward Loop

Chapter 4. Temporal Programs and the Global Structure of Transcription Networks

Chapter 5. Positive Feedback, Bistability and Memory

Chapter 6. How to Build a Biological Oscillator

Part Two: Robustness

Chapter 7. Kinetic Proofreading and Conformational Proofreading

Chapter 8. Robust Signalling

Chapter 9. Chemotaxis

Chapter 10. Fold-change Detection

Chapter 11. Dynamical Compensation and Mutal Resistance in Tissues

Chapter 12. Robust Spatial Patterning in Development.

Part Three: Optimality

Chapter 13. Optimal Gene Circuit Design

Chapter14. Multi-objective Optimality in Biology

Chapter 15. Modularity