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. |
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
aảect activation threshold amino acid arabinose autoregulation bacteria binds the promoter biochemical Biol biological networks cascade cell Chapter CheB chemotaxis CheR circuit codon coli complex concentration degradation degradation/dilution described diảerent diảusion dynamics eảect 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 function input signal interactions IPTG kinase kinetic proofreading lac system lactose LacZ ligand mechanism methylation mode module molecule morphogen mRNA multi-output FFL mutations negative autoregulation network motifs neurons nodes occurs optimal output parameters pathway patterns perceptrons phosphorylated production rate promoter activity protein level protein Z pulses random networks regulatory repression repressor response robust S₁ Savageau selection sensory transcription networks signal transduction simple regulation steady-state step of Sx stochastic subgraphs T-cell timescale tion transcription factor tRNA tumbling frequency