An Introduction to Systems Biology: Design Principles of Biological CircuitsThorough and accessible, this book presents the design principles of biological systems, and highlights the recurring circuit elements that make up biological networks. It provides a simple mathematical framework which can be used to understand and even design biological circuits. The textavoids specialist terms, focusing instead on several well-studied biological systems that concisely demonstrate key principles. An Introduction to Systems Biology: Design Principles of Biological Circuits builds a solid foundation for the intuitive understanding of general principles. It encourages the reader to ask why a system is designed in a particular way and then proceeds to answer with simplified models. |
Contents
| 1 | |
Basic Concepts | 5 |
A Network Motif | 27 |
Chapter 4 The FeedForward Loop Network Motif | 41 |
Chapter 5Temporal Programs andthe Global Structure of Transcription Networks | 75 |
Chapter 6 Network Motifs in Developmental Signal Transduction and Neuronal Networks | 97 |
The Example of Bacterial Chemotaxis | 135 |
Chapter 8 Robust Patterning in Development | 159 |
Simplicity in Biology | 233 |
MichaelisMentenand Hill Equations | 241 |
Appendix B MultiDimensional Input Functions | 253 |
Appendix C Graph Properties of Transcription Networks | 257 |
Appendix D CellCell Variability in Gene Expression | 261 |
Glossary | 265 |
| 271 | |
Color Insert | 295 |
Chapter 9 Kinetic Proofreading | 175 |
Chapter 10 Optimal Gene Circuit Design | 193 |
Chapter 11 Demand Rules for Gene Regulation | 215 |
Back cover | 299 |
Other editions - View all
An Introduction to Systems Biology: Design Principles of Biological Circuits Uri Alon Limited preview - 2006 |
An Introduction to Systems Biology: Design Principles of Biological Circuits Uri Alon No preview available - 2017 |
An Introduction to Systems Biology: Design Principles of Biological Circuits Uri Alon No preview available - 2006 |
Common terms and phrases
activation threshold amino acid arabinose autoregulation bacteria binds the promoter biochemical Biol biological networks cascade cell Chapter CheB chemotaxis CheR codon coli complex concentration degradation degradation/dilution demand rule described dynamics edges environment enzyme Equation error rate error-load Escherichia coli exact adaptation example expression level feed-forward loop feedback loop FFL types Figure flagella gene expression gene regulation genetic glucose growth rate input signal interactions IPTG kinase kinetic proofreading lac system lactose LacZ ligand mechanism methylation mode module molecule morphogen mRNA multi-output FFL mutations Natl negative autoregulation network motifs neurons nodes occurs optimal output parameters pathway patterns perceptrons phosphorylated positive production rate protein level protein Z randomized networks region regulatory repression repressor response robust Savageau selection sensory transcription networks sign-sensitive delay signal Sx signal transduction simple regulation steady-state step of Sx subgraphs T-cell timescale tion transcription factor tRNA tumbling frequency