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Title Systems biology : integrative biology and simulation tools. Volume 1 / Aleš Prokop, Béla Csuks̀, editors
Published Dordrecht : Springer, 2013

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Description 1 online resource (xxxi, 553 pages) : illustrations
Contents Part I. Foundation of Systems Biology, Integrative Biology and Issues of Biosystem Complexity, Redundancy and of Other Network Properties. Functional Genomics, Proteomics, Metabolomics and Bioinformatics for Systems Biology / Stéphane Ballereau ... et al. -- Comparing Biological Networks: A Survey on Graph Classifying Techniques / Laurin A.J. Mueller, Matthias Dehmer, Frank Emmert-Streib -- Emergent Properties of Gene Regulatory Networks: Models and Data / Roberto Serra, Marco Villani -- Regulatory Crosstalk Analysis of Biochemical Networks in the Hippocampus and Nucleus Accumbens / Shinichi Kikuchi, Eberhard O. Voit -- Properties of Biological Networks / Vlado Dančík, Amrita Basu, Paul Clemons
Part II. Modeling of Ill-Defined, Lack of Knowledge (Experimental) Problems in the Field of Complex Biosystems Including Identification and Validation: A Review of Enabling Technologies. On Different Aspects of Network Analysis in Systems Biology / Amphun Chaiboonchoe ... et al. -- Computational Approaches for Reconstruction of Time-Varying Biological Networks from Omics Data / Vinay Jethava, Chiranjib Bhattacharyya, Devdatt Dubhashi -- Probabilistic Graphical Modeling in Systems Biology: A Framework for Integrative Approaches / Christine Sinoquet -- Innovations of the Rule-Based Modeling Approach / Lily A. Chylek ... et al. -- Reproducibility of Model-Based Results in Systems Biology / Dagmar Waltemath ... et al. -- Parameter Identifiability and Redundancy, with Applications to a General Class of Stochastic Carcinogenesis Models / Mark P. Little, Wolfgang F. Heidenreich, Guangquan Li -- Semantic Systems Biology: Formal Knowledge Representation in Systems Biology for Model Construction, Retrieval, Validation and Discovery / Michel Dumontier, Leonid L. Chepelev, Robert Hoehndorf
Part III. Critical Analysis of Multi-Scale Computational Methods and Tools, Computational Tools for Crossing Levels and Applications. Computational Infrastructures for Data and Knowledge Management in Systems Biology / Fotis Georgatos ... et al. -- Computational Tools and Resources for Integrative Modeling in Systems Biology / Christoph Wierling, Hendrik Hache -- Agent-Based Modeling Approaches to Multi-Scale Systems Biology: An Example Agent-Based Model of Acute Pulmonary Inflammation / Gary An, Michael Wandling, Scott Christley -- Reconstruction and Comparison of Cellular Signaling Pathway Resources for the Systems-Level Analysis of Cross-Talks / Máté Pálfy ... et al. -- A Survey of Current Integrative Network Algorithms for Systems Biology / Andrew K. Rider, Nitesh V. Chawla, Scott J. Emrich -- Direct Computer Mapping Based Modeling of a Multiscale Process Involving p53/miR-34a Signaling / Béla Csukás, Mónika Varga, Aleš Prokop
Summary Growth in the pharmaceutical market has slowed down-- almost to a standstill. One reason is that governments and other payers are cutting costs in a faltering world economy. But a more fundamental problem is the failure of major companies to discover, develop and market new drugs. Major drugs losing patent protection or being withdrawn from the market are simply not being replaced by new therapies-- the pharmaceutical market model is no longer functioning effectively and most pharmaceutical companies are failing to produce the innovation needed for success. This multi-authored new book looks at a vital strategy which can bring innovation to a market in need of new ideas and new products: Systems Biology (SB). Modeling is a significant task of systems biology. SB aims to develop and use efficient algorithms, data structures, visualization and communication tools to orchestrate the integration of large quantities of biological data with the goal of computer modeling. It involves the use of computer simulations of biological systems, such as the networks of metabolites comprise signal transduction pathways and gene regulatory networks to both analyze and visualize the complex connections of these cellular processes. SB involves a series of operational protocols used for performing research, namely a cycle composed of theoretical, analytic or computational modeling to propose specific testable hypotheses about a biological system, experimental validation, and then using the newly acquired quantitative description of cells or cell processes to refine the computational model or theory
Analysis biomedische wetenschappen
biomedicine
biomedische techniek
biomedical engineering
microorganisms
genomica
genomics
simulatiemodellen
simulation models
Medicine (General)
Geneeskunde (algemeen)
Notes Includes index
Bibliography Includes bibliographical references and index
Notes Online resource; title from PDF title page (SpringerLink, viewed September 3, 2013)
Subject Systems biology.
Systems Biology
NATURE -- Reference.
SCIENCE -- Life Sciences -- Biology.
SCIENCE -- Life Sciences -- General.
Systems biology
Form Electronic book
Author Prokop, Aleš, editor
Csuks̀, Béla, editor
LC no. 2012953557
ISBN 9789400768031
9400768036
9400768028
9789400768024