Written for students and researchers in systems biology, 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 networks, highlighting simple, recurring circuit elements that make up the regulation of cells and tissues.
Written for students and researchers in systems biology, 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 networks, highlighting simple, recurring circuit elements that make up the regulation of cells and tissues.
Uri Alon is the Abisch-Frenkel professor of systems biology at the Weizmann Institute of Science; https: //www.weizmann.ac.il/mcb/UriAlon/homepage
Inhaltsangabe
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.
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.
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