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Handbook on biological networks / edited by Stefano Boccaletti, Vito Latora, Yamir Moreno.
- Format:
- Book
- Series:
- World Scientific lecture notes in complex systems ; v. 10.
- World Scientific lecture notes in complex systems ; v. 10
- Language:
- English
- Subjects (All):
- Biological models.
- Computational biology.
- Physical Description:
- 1 online resource (465 p.)
- Place of Publication:
- Singapore : World Scientific, c2010.
- Language Note:
- English
- Summary:
- Networked systems are all around us. The accumulated evidence of systems as complex as a cell cannot be fully understood by studying only their isolated constituents, giving rise to a new area of interest in research - the study of <i>complex networks</i>. In a broad sense, biological networks have been one of the most studied networks, and the field has benefited from many important contributions. By understanding and modeling the structure of a biological network, a better perception of its dynamical and functional behavior is to be expected. This unique book compiles the most relevant resu
- Contents:
- Contents; Preface; 1. Introduction; Networks at the Cellular Level; 2. The Structural Network Properties of Biological Systems 9 Matteo Brilli and Pietro Li o; 2.1. Introduction; 2.2. Regulatory Networks; 2.2.1. Experimental approach; 2.2.2. Computational approach; 2.2.3. Integrated approach; 2.3. Gene Coexpression Networks; 2.3.1. Experimental approach; 2.3.2. Computational approach; 2.4. Protein-Protein Interaction Networks; 2.4.1. Experimental approach; 2.4.2. Computational approach; 2.5. Evolutionary Networks; 2.5.1. Computational approach
- 2.6. Statistical Properties of Biological Networks2.7. Functional Networks Motifs; 2.8. Conclusion; References; 3. Dynamics of Multicellular Synthetic Gene Networks Ekkehard Ullner, Aneta Koseska, Alexey Zaikin, Evgenii Volkov, J urgen Kurths, and Jordi Garc a-Ojalvo; 3.1. Introduction; 3.2. Coupled Repressilators; 3.2.1. Phase-attractive coupling; 3.2.1.1. Model; 3.2.1.2. Transition to synchronization; 3.2.2. Phase-repulsive coupling; 3.2.2.1. Bifurcation analysis for two coupled repressilators; 3.2.2.2. Comparison between bifurcation analysis and direct calculations
- 3.2.2.3. Chaos provoked by repressive cell-to-cell communication3.2.2.4. Large system sizes; 3.3. Genetic Relaxation Oscillators; 3.3.1. Dynamical regimes of coupled relaxators; 3.3.2. Bifurcation analysis; 3.3.3. Response to external noise: quantized cycling time; 3.4. Conclusions and Discussion; Acknowledgments; References; 4. Boolean Networks in Inference and Dynamic Modeling of Biological Systems at the Molecular and Physiological Level Juilee Thakar and R eka Albert; 4.1. Introduction; 4.2. Boolean Network Concepts and History; 4.3. Extensions of the Classical Boolean Framework
- 4.4. Boolean Inference Methods and Examples in Biology4.6. Dynamic Boolean Models: Examples in Plant Biology, Developmental Biology and Immunology; 4.7. Conclusions; References; 5. Complexity of Boolean Dynamics in Simple Models of Signaling Networks and in Real Genetic Networks Albert D az-Guilera and Elena R. Alvarez-Buylla; 5.1. Introduction; 5.2. Noisy Dynamics of Boolean Networks; 5.3. Correlation Functions of the Fluctuations; 5.4. Model Signalling Networks; 5.4.1. Topology; 5.4.2. Boolean rules; 5.4.3. Noisy dynamics; 5.4.4. Complex dynamics from simple models; 5.4.5. Robustness
- 5.5. Dynamics in Real Genetic Regulatory Networks5.5.1. A GRN underlying cell-fate determination during early stages of ower development; 5.5.2. Noisy dynamics; 5.6. Conclusions; References; 6. Geometry and Topology of Folding Landscapes Lorenzo Bongini and Lapo Casetti; 6.1. Introduction; 6.2. The Connectivity Graph of the Energy Landscape; 6.2.1. Renormalization of the graph; 6.2.2. Two-dimensional models; 6.2.2.1. Topological properties of the renormalized connectivity graph; 6.2.3. Three-dimensional models; 6.3. Geometry of Energy Landscapes
- 6.3.1. Curvature of the energy landscape of simple model proteins
- Notes:
- Description based upon print version of record.
- Includes bibliographical references and index.
- ISBN:
- 9786612757655
- 9781282757653
- 1282757652
- 9789812838803
- 9812838805
- OCLC:
- 879550991
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