| 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 |
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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 |
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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 |
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biomedicine |
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biomedische techniek |
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biomedical engineering |
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microorganisms |
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genomica |
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genomics |
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simulatiemodellen |
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simulation models |
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Medicine (General) |
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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.
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Systems Biology
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NATURE -- Reference.
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SCIENCE -- Life Sciences -- Biology.
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SCIENCE -- Life Sciences -- General.
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Systems biology
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| Form |
Electronic book
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| Author |
Prokop, Aleš, editor
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Csuks̀, Béla, editor
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| LC no. |
2012953557 |
| ISBN |
9789400768031 |
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9400768036 |
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9400768028 |
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9789400768024 |
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