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Full Description
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
The book website including course videos can be found here: https://www.weizmann.ac.il/mcb/UriAlon/introduction-systems-biology-design-principles-biological-circuits.
Contents
Part 1: Network Motifs. 1. Transcription Networks: Basic Concepts. 2. Autoregulation: A Network Motif. 3. The Feedforward Loop Network Motif. 4. Temporal Programs and the Global Structure of Transcription Networks. 5. Positive Feedback, Bistability, and Memory. 6. How to Build a Biological Oscillator. Part 2: Robustness. 7. Kinetic Proofreading and Conformational Proofreading. 8. Robust Signaling by Bifunctional Components. 9. Robustness and Bacterial Chemotaxis. 10. Fold-Change Detection. 11. Dynamical Compensation and Mutant Resistance in Tissues. 12. Robust Spatial Patterning in Development. Part 3: Optimality. 13. Optimal Gene Circuit Design. 14. Multi-Objective Optimality in Biology. 15. Modularity. Appendix A: The Input Functions of Genes: Michaelis-Menten and Hill Equations. Appendix B: Multi-Dimensional Input Functions. Appendix C: Graph Properties of Transcription Networks. Appendix D. Noise in Gene Expression.
