Record Display for the EPA National Library Catalog

RECORD NUMBER: 92 OF 100

Main Title Systems Biology Definitions and Perspectives / [electronic resource] :
Type EBOOK
Author Alberghina, Lila.
Other Authors
Author Title of a Work
Westerhoff, H.V.
Publisher Springer Berlin Heidelberg,
Year Published 2005
Call Number QH324.2-324.25
ISBN 9783540314530
Subjects Life sciences ; Biochemistry ; Bioinformatics ; Cytology ; Biology--Data processing
Internet Access
Description Access URL
http://dx.doi.org/10.1007/b95175
Collation XVII, 408 p. online resource.
Notes
Due to license restrictions, this resource is available to EPA employees and authorized contractors only
Contents Notes
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.