Overview

The wealth of genomic and post-genomic data needs to be structured so that the understanding of complex cellular processes can be achieved by creating computational models able to describe and predict phenotypes at the cell or organism level in health and disease. This book provides a detailed presentation of systems biology studies that are paving the way towards the above-mentioned goal and discusses the most efficient experimental and computational strategies for this purpose. The potential benefits for bioindustry, in particular the discovery of new drugs and better management, are also presented.

Full Product Details

Author:   Lilia Alberghina ,  Hans V. Westerhoff
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2005 ed.
Volume:   13
Dimensions:   Width: 15.50cm , Height: 2.40cm , Length: 23.50cm
Weight:   0.890kg
ISBN:  

9783540229681

ISBN 10:   354022968
Pages:   408
Publication Date:   22 September 2005
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of 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.

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