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. |
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Review: An Introduction to Systems Biology: Design Principles of Biological Circuits (Chapman & Hall/CRC Mathematical & Computational Biology)
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An Introduction to Systems Biology: Design Principles of Biological Circuits Uri Alon Eingeschränkte Leseprobe - 2006 |
An Introduction to Systems Biology: Design Principles of Biological Circuits Uri Alon Keine Leseprobe verfügbar - 2017 |
An Introduction to Systems Biology: Design Principles of Biological Circuits Uri Alon Keine Leseprobe verfügbar - 2006 |
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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 delay described dynamics edges environment enzyme Equation error rate error-load Escherichia coli exact adaptation example expression level feed-forward loop feedback loop FFL types FIGu 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 negative autoregulation network motifs neurons nodes occurs optimal output parameters pathway patterns perceptrons phosphorylated positive production rate protein level protein Z random networks region regulatory repression repressor response robust Savageau selection sensory transcription networks sign-sensitive signal Sx signal transduction simple regulation steady-state step of Sx stochastic subgraphs T-cell timescale tion transcription factor tRNA tumbling frequency