Ebook: Dynamics of Complex Interconnected Systems: Networks and Bioprocesses
- Tags: Complexity, Soft Matter Complex Fluids, Biophysics/Biomedical Physics, Biomaterials, Social Sciences general
- Series: NATO Science Series II 232
- Year: 2006
- Publisher: Springer Netherlands
- Edition: 1
- Language: English
- pdf
This volume comprises the proceedings of a NATO Advanced Study Institute (ASI) held at Geilo, Norway, 11-21 April 2005, the eighteenth ASI in a series held every two years since 1971. The objective of this ASI was to identify and discuss areas where synergism between modern physics and biology may be most fruitfully applied to the study of bioprocesses for molecular recognition, and of networks for converting molecular reactions into usable signals and appropriate responses. Many fields of research are confronted with networks. Genetic and metabolic networks describe how proteins, substrates and genes interact in a cell; social networks quantify the interactions between people in the society; the Internet is a complex web of computers; ecological systems are best described as a web of species. In many cases, the interacting networks manifest so-called emergent properties that are not possessed by any of the individual components. This means that the detailed knowledge of the components is insufficient to describe the whole system. Recent work has indicated that networks in nature have so-called scale-free characteristics, and the associated dynamic network modelling shows unexpected results such as an amazing robustness against accidental failures, a property that is rooted in their inhomogeneous topology. Understanding these phenomena and turning them to use in chemical and biological threat detection and response will require exploring a wide range of network structures as well.
This book reviews the synergism between various fields of research that are confronted with networks, such as genetic and metabolic networks, social networks, the Internet and ecological systems. In many cases, the interacting networks manifest so-called emergent properties that are not possessed by any of the individual components. This means that the detailed knowledge of the components is insufficient to describe the whole system.
Recent work has indicated that networks in nature have so-called scale-free characteristics, and the associated dynamic network modeling shows unexpected results such as an amazing robustness against accidental failures. Modeling the signal transduction networks in bioprocesses as in living cells is a challenging interdisciplinary research area. It is now realized that the many features of molecular interaction networks within a cell are shared to a large degree by the other complex systems mentioned above, such as the Internet, computer chips and society. Thus knowledge gained from the study of complex non-biological systems can be applied to the intricate braided relationships that govern cellular functions.
This book reviews the synergism between various fields of research that are confronted with networks, such as genetic and metabolic networks, social networks, the Internet and ecological systems. In many cases, the interacting networks manifest so-called emergent properties that are not possessed by any of the individual components. This means that the detailed knowledge of the components is insufficient to describe the whole system.
Recent work has indicated that networks in nature have so-called scale-free characteristics, and the associated dynamic network modeling shows unexpected results such as an amazing robustness against accidental failures. Modeling the signal transduction networks in bioprocesses as in living cells is a challenging interdisciplinary research area. It is now realized that the many features of molecular interaction networks within a cell are shared to a large degree by the other complex systems mentioned above, such as the Internet, computer chips and society. Thus knowledge gained from the study of complex non-biological systems can be applied to the intricate braided relationships that govern cellular functions.
Content:
Front Matter....Pages I-XV
STRUCTURE AND COMMUNICATION IN COMPLEX NETWORKS....Pages 1-28
EFFECTS OF COMMUNITY STRUCTURE ON SEARCH AND RANKING IN COMPLEX NETWORKS....Pages 29-37
THE SOS RESPONSE OF BACTERIA TO DNA DAMAGE....Pages 39-47
SELF-AFFINE SCALING DURING INTERFACIAL CRACK FRONT PROPAGATION....Pages 49-59
DIFFUSION, FRAGMENTATION AND MERGING PROCESSES IN ICE CRYSTALS, ALPHA HELICES AND OTHER SYSTEMS....Pages 61-70
MOLECULAR MECHANISMS IN BIOSIGNALLING: VISUAL RECEPTION....Pages 71-106
THE ARCHITECTURE OF COMPLEXITY: FROM WWW TO CELLULAR METABOLISM....Pages 107-125
MATHEMATICAL MODELING OF NEURAL ACTIVITY....Pages 127-145
BRAIDED SPACE-TIME PARTICLE NETWORKS....Pages 147-162
COMBINING OPTICAL TWEEZERS AND MICROPIPETTES FOR DNA STRETCHING: ELASTICITY OF MICROPIPETTE CRUCIAL....Pages 163-173
UNIVERSAL NETWORKS AND PROCESSES IN SOFT AND COMPLEX MATTER: FROM NANO TO MACRO....Pages 175-190
WHAT ECONOMISTS SHOULD LEARN FROM ECONOPHYSICS....Pages 191-202
THE MINORITY GAME: STATISTICAL PHYSICS OF COLLECTIVE BEHAVIOUR OF ADAPTIVE AGENTS IN A COMPETITIVE MARKET....Pages 203-210
Back Matter....Pages 211-211
This book reviews the synergism between various fields of research that are confronted with networks, such as genetic and metabolic networks, social networks, the Internet and ecological systems. In many cases, the interacting networks manifest so-called emergent properties that are not possessed by any of the individual components. This means that the detailed knowledge of the components is insufficient to describe the whole system.
Recent work has indicated that networks in nature have so-called scale-free characteristics, and the associated dynamic network modeling shows unexpected results such as an amazing robustness against accidental failures. Modeling the signal transduction networks in bioprocesses as in living cells is a challenging interdisciplinary research area. It is now realized that the many features of molecular interaction networks within a cell are shared to a large degree by the other complex systems mentioned above, such as the Internet, computer chips and society. Thus knowledge gained from the study of complex non-biological systems can be applied to the intricate braided relationships that govern cellular functions.
Content:
Front Matter....Pages I-XV
STRUCTURE AND COMMUNICATION IN COMPLEX NETWORKS....Pages 1-28
EFFECTS OF COMMUNITY STRUCTURE ON SEARCH AND RANKING IN COMPLEX NETWORKS....Pages 29-37
THE SOS RESPONSE OF BACTERIA TO DNA DAMAGE....Pages 39-47
SELF-AFFINE SCALING DURING INTERFACIAL CRACK FRONT PROPAGATION....Pages 49-59
DIFFUSION, FRAGMENTATION AND MERGING PROCESSES IN ICE CRYSTALS, ALPHA HELICES AND OTHER SYSTEMS....Pages 61-70
MOLECULAR MECHANISMS IN BIOSIGNALLING: VISUAL RECEPTION....Pages 71-106
THE ARCHITECTURE OF COMPLEXITY: FROM WWW TO CELLULAR METABOLISM....Pages 107-125
MATHEMATICAL MODELING OF NEURAL ACTIVITY....Pages 127-145
BRAIDED SPACE-TIME PARTICLE NETWORKS....Pages 147-162
COMBINING OPTICAL TWEEZERS AND MICROPIPETTES FOR DNA STRETCHING: ELASTICITY OF MICROPIPETTE CRUCIAL....Pages 163-173
UNIVERSAL NETWORKS AND PROCESSES IN SOFT AND COMPLEX MATTER: FROM NANO TO MACRO....Pages 175-190
WHAT ECONOMISTS SHOULD LEARN FROM ECONOPHYSICS....Pages 191-202
THE MINORITY GAME: STATISTICAL PHYSICS OF COLLECTIVE BEHAVIOUR OF ADAPTIVE AGENTS IN A COMPETITIVE MARKET....Pages 203-210
Back Matter....Pages 211-211
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