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Systems Biology : Definitions and Perspectives /

Contributor(s): Alberghina, Lila [editor.] | Westerhoff, H.V [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Topics in Current Genetics: 13Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.Description: XVII, 408 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540314530.Subject(s): Life sciences | Biochemistry | Bioinformatics | Cell biology | Computational biology | Life Sciences | Computer Appl. in Life Sciences | Cell Biology | Bioinformatics | Biochemistry, generalDDC classification: 570.285 Online resources: Click here to access online
Contents:
Systems Biology of Apoptosis -- Mathematical Modeling of the Wnt-Pathway -- Modeling Signaling Pathways – A Yeast Approach -- Mechanistic and Modular Approaches to Modeling and Inference of Cellular Regulatory Networks -- Scientific and Technical Challenges for Systems Biology -- Integration of Metabolic and Signaling Networks -- From Isolation to Integration, a Systems Biology Approach for Building the Silicon Cell -- What’s Systems Biology: From Genes to Function and Back -- Systems Biology: Recent Developments and New Trends -- A Modular Systems Biology Analysis of the Cell Cycle Entrance into S Phase -- Metabolic Control Analysis -- Mesoscopic Kinetics and its Applications in Protein Synthesis -- E. coli Glycolysis -- Kinetic Modeling of the E. coli Metabolism -- No Music without Melody: How to Understand Biochemical Systems by Understanding Their Dynamics -- Systems Biology of the Yeast Cell Cycle Engine -- Quantification of in vivo Molecular Fluxes: A Key Methodology for Metabolic Systems Biology.-Modeling the E. coli cell: The Need for Computing, Cooperation, and Consortia.
In: Springer eBooksSummary: 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.
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E books E books PK Kelkar Library, IIT Kanpur
Available EBK2849
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Systems Biology of Apoptosis -- Mathematical Modeling of the Wnt-Pathway -- Modeling Signaling Pathways – A Yeast Approach -- Mechanistic and Modular Approaches to Modeling and Inference of Cellular Regulatory Networks -- Scientific and Technical Challenges for Systems Biology -- Integration of Metabolic and Signaling Networks -- From Isolation to Integration, a Systems Biology Approach for Building the Silicon Cell -- What’s Systems Biology: From Genes to Function and Back -- Systems Biology: Recent Developments and New Trends -- A Modular Systems Biology Analysis of the Cell Cycle Entrance into S Phase -- Metabolic Control Analysis -- Mesoscopic Kinetics and its Applications in Protein Synthesis -- E. coli Glycolysis -- Kinetic Modeling of the E. coli Metabolism -- No Music without Melody: How to Understand Biochemical Systems by Understanding Their Dynamics -- Systems Biology of the Yeast Cell Cycle Engine -- Quantification of in vivo Molecular Fluxes: A Key Methodology for Metabolic Systems Biology.-Modeling the E. coli cell: The Need for Computing, Cooperation, and Consortia.

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.

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