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alon uri - an introduction to systems biology

An Introduction to Systems Biology Design Principles of Biological Circuits




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Dettagli

Genere:Libro
Lingua: Inglese
Pubblicazione: 07/2006
Edizione: 1° edizione





Trama

Thorough 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.




Sommario

INTRODUCTION TRANSCRIPTION NETWORKS, BASIC CONCEPTS Introduction The Cognitive Problem of the Cell Elements of Transcription Networks Dynamics and Response Time of Simple Gene Circuits AUTO-REGULATION, A NETWORK MOTIF Introduction Patterns, Randomized Networks and Network Motifs Autoregulation is a Network Motif Negative Auto-Regulation Speeds the Response Time of Gene        Circuits Negative Auto-Regulation Promotes Robustness to Fluctuations    in Production Positive auto-regulation speeds responses and widens cell-cell variability Summary THE FEEDFORWARD LOOP NETWORK MOTIF Introduction The Number of Appearances of a Subgraph in Random    Networks The Feedforward Loop (FFL) is a Network Motif The Structure of the Feedforward Loop Circuit Dynamics of the Coherent FFL with AND-Logic The C1-FFL is a Sign-Sensitive Delay Element The Incoherent FFL: a pulse generator and response accelerator Why Are Some FFL Types Rare? Convergent Evolution of FFLs Summary TEMPORAL PROGRAMS AND THE GLOBAL STRUCTURE OF TRANSCRIPTION NETWORKS Introduction The Single-Input Module (SIM) Network Motif SIMs Can Generate Temporal Expression Programs Topological Generalizations of Network Motifs The Multi-Output FFL Can Generate FIFO Temporal Order Signal Integration and Combinatorial Control: Bi-Fans and     Dense-Overlapping Regulons Network Motifs and the Global Structure of Sensory     Transcription Networks NETWORK MOTIFS IN DEVELOPMENTAL, SIGNAL-TRANSDUCTION AND NEURONAL NETWORKS Introduction Network Motifs in Developmental Transcription Networks: Positive feedback loops and bistability Motifs in Signal Transduction Networks Information Processing Using Multi-Layer Perceptrons Composite Network Motifs: Negative Feedback and Oscillator    Motifs Network Motifs in the Neuronal Network of C. Elegans Summary ROBUSTNESS OF PROTEIN CIRCUITS, THE EXAMPLE OF BACTERIAL CHEMOTAXIS The Robustness Principle Bacterial Chemotaxis, or How Bacteria 'Think' The Chemotaxis Protein Circuit of E. coli Two Models Can Explain Exact Adaptation, One is Robust and    the Other Fine Tuned The Barkai-Leibler model Individuality and Robustness in Bacterial Chemotaxis ROBUST PATTERNING IN DEVELOPMENT Introduction to Morphogen Gradients Exponential Gradients Are Not Robust Increased Robustness by Self-Enhanced Morphogen    Degradation Network Motifs That Provide Robust Patterning The Robustness Principle Can Distinguish Between    Mechanisms of Fruit Fly Patterning KINETIC PROOFREADING Introduction Kinetic Proofreading of the Genetic Code Can Reduce Error    Rates of Molecular Recognition Recognition of Self and Non-Self by the Immune System Kinetic Proofreading May Occur in Diverse Recognition    Processes in the Cell OPTIMAL GENE CIRCUIT DESIGN Introduction Cost and Benefit Analysis of Gene circuits Optimal Expression Level of a Protein Under Constant    Conditions To Regulate or Not to Regulate: Optimal Regulation in Variable    Environments Environmental Selection of the Feedforward Loop Network Motif Summary RULES FOR GENE REGULATION BASED ON ERROR MINIMIZATION Introduction The Savageau Demand Rules Rules for Gene Regulation Based on Minimal Error Load Demand Rules for Genes with Multiple Regulators Summary EPILOGUE: Simplicity in Biology APPENDIX A: The Input-Function of a Gene, Michaelis-Menten and Hill Equations             APPENDIX B: Multi-Dimensional Input-Functions APPENDIX C: Graph Properties of Transcription Networks APPENDIX D: Cell-Cell Variability in Gene Expression GLOSSARY BIBLIOGRAPHY










Altre Informazioni

ISBN:

9781584886426

Condizione: Nuovo
Collana: Chapman & Hall/CRC Mathematical and Computational Biology
Dimensioni: 10 x 7 in Ø 1.50 lb
Formato: Brossura
Illustration Notes:110 b/w images, 8 tables and 4 halftones
Pagine Arabe: 320


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