Ebook: Systems Biology: Definitions and Perspectives
- Tags: Computer Appl. in Life Sciences, Cell Biology, Bioinformatics, Biochemistry general
- Series: Topics in Current Genetics 13
- Year: 2005
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
For life to be understood and disease to become manageable, the wealth of postgenomic data now needs to be made dynamic. This development requires systems biology, integrating computational models for cells and organisms in health and disease; quantitative experiments (high-throughput, genome-wide, living cell, in silico); and new concepts and principles concerning interactions. This book defines the new field of systems biology and discusses the most efficient experimental and computational strategies. The benefits for industry, such as the new network-based drug-target design validation, and testing, are also presented.
For life to be understood and disease to become manageable, the wealth of postgenomic data now needs to be made dynamic. This development requires systems biology, integrating computational models for cells and organisms in health and disease; quantitative experiments (high-throughput, genome-wide, living cell, in silico); and new concepts and principles concerning interactions. This book defines the new field of systems biology and discusses the most efficient experimental and computational strategies. The benefits for industry, such as the new network-based drug-target design validation, and testing, are also presented.
For life to be understood and disease to become manageable, the wealth of postgenomic data now needs to be made dynamic. This development requires systems biology, integrating computational models for cells and organisms in health and disease; quantitative experiments (high-throughput, genome-wide, living cell, in silico); and new concepts and principles concerning interactions. This book defines the new field of systems biology and discusses the most efficient experimental and computational strategies. The benefits for industry, such as the new network-based drug-target design validation, and testing, are also presented.
Content:
Front Matter....Pages -
Systems Biology: Did we know it all along?....Pages 3-9
From isolation to integration, a systems biology approach for building the Silicon Cell....Pages 13-30
Kinetic modelling of the E. coli metabolism....Pages 31-67
Metabolic Control Analysis....Pages 69-80
No music without melody: How to understand biochemical systems by understanding their dynamics....Pages 81-93
Mesoscopic kinetics and its applications in protein synthesis....Pages 95-18
What is systems biology? From genes to function and back....Pages 119-141
Mechanistic and modular approaches to modeling and inference of cellular regulatory networks....Pages 143-159
Modeling the E. coli cell: The need for computing, cooperation, and consortia....Pages 163-189
Metabolic flux analysis: A key methodology for systems biology of metabolism....Pages 191-214
Metabolic networks: biology meets engineering sciences....Pages 215-234
Integration of metabolic and signaling networks....Pages 235-256
Mathematical modelling of the Wnt-pathway....Pages 259-275
Modelling signalling pathways – a yeast approach....Pages 277-302
Systems biology of the yeast cell cycle engine....Pages 305-324
A modular systems biology analysis of cell cycle entrance into S-phase....Pages 325-347
Systems biology of apoptosis....Pages 349-372
Scientific and technical challenges for systems biology....Pages 373-385
Systems Biology: necessary developments and trends....Pages 389-402
Back Matter....Pages -
For life to be understood and disease to become manageable, the wealth of postgenomic data now needs to be made dynamic. This development requires systems biology, integrating computational models for cells and organisms in health and disease; quantitative experiments (high-throughput, genome-wide, living cell, in silico); and new concepts and principles concerning interactions. This book defines the new field of systems biology and discusses the most efficient experimental and computational strategies. The benefits for industry, such as the new network-based drug-target design validation, and testing, are also presented.
Content:
Front Matter....Pages -
Systems Biology: Did we know it all along?....Pages 3-9
From isolation to integration, a systems biology approach for building the Silicon Cell....Pages 13-30
Kinetic modelling of the E. coli metabolism....Pages 31-67
Metabolic Control Analysis....Pages 69-80
No music without melody: How to understand biochemical systems by understanding their dynamics....Pages 81-93
Mesoscopic kinetics and its applications in protein synthesis....Pages 95-18
What is systems biology? From genes to function and back....Pages 119-141
Mechanistic and modular approaches to modeling and inference of cellular regulatory networks....Pages 143-159
Modeling the E. coli cell: The need for computing, cooperation, and consortia....Pages 163-189
Metabolic flux analysis: A key methodology for systems biology of metabolism....Pages 191-214
Metabolic networks: biology meets engineering sciences....Pages 215-234
Integration of metabolic and signaling networks....Pages 235-256
Mathematical modelling of the Wnt-pathway....Pages 259-275
Modelling signalling pathways – a yeast approach....Pages 277-302
Systems biology of the yeast cell cycle engine....Pages 305-324
A modular systems biology analysis of cell cycle entrance into S-phase....Pages 325-347
Systems biology of apoptosis....Pages 349-372
Scientific and technical challenges for systems biology....Pages 373-385
Systems Biology: necessary developments and trends....Pages 389-402
Back Matter....Pages -
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