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Systems Biology in Cancer Research and Drug Discovery

Publisher: Dordrecht : Springer Netherlands : Imprint : Springer, 2012.
Edition/Format:   eBook : Document : EnglishView all editions and formats

Systems Biology in Cancer Research and Drug Discovery provides a unique collection of chapters, by world-class researchers, describing the use of integrated systems biology and network modeling in  Read more...


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Additional Physical Format: Druckausg.
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
ISBN: 9789400748194 9400748191 9789400748187 9400748183
OCLC Number: 812051631
Notes: Biomedical and Life Sciences (Springer-11642).
Description: 1 Online-Ressource
Contents: Preface. PART I Systems Biology in Cancer.1 Systems Biology Approach to Metabolomics in Cancer Studies.2 System Biology Approach to Study Cancer Related Pathway.3 Modeling Oncogenic Signaling Networks from Gene Expression Dynamics.4 An Integrated Systems Approach to the Study of Pancreatic Cancer.5 Protein Microarray: an Ideal Platform for Systems Biology.6 Systems Biology of Pancreatic Cancer: the Role of Tumor-Microenvironment communication in Development, Progression and Therapy Resistance.PART II Systems Approaches to understand cancer Progression.7 Understanding Cancer Progression Using Protein Interaction Networks.8 Understanding the Dynamics of Tumor Angiogenesis: a Systems Biology Approach.9 Applications of Network Bioinformatics to Cancer Angiogenesis.PART III Systems and Network Biology in decoding miRNA complexity. 10 Human MicroRNA Targetome Indicates a Specialized Role of MicroRNAs in Regulation of Oncogenesis.11 Novel and Alternative Bioinformatics Approaches to understand miRNA- mRNA Interactome in Cancer Research.12 Prioritizing Candidate Disease miRNAs by Topological Features in the miRNA-target Dysregulated Network.PART IV Network Modeling in Cancer Drug Discovery and clinical trials.13 Development and Clinical Implementation of Reverse Phase Protein Microarrays for Protein Network Activation Mapping: Personalized Cancer Therapy.14 The Principle of Rational Design of Drug Combination and Personalized Therapy Based on Network Pharmacology.15 Relevance of Network Hierarchy in Cancer Drug-Target Selection.16 Computational Infrastructures for Large Scale Data Access and Analysis in Post-Genomic Clinical Trials.17 Network Pharmacology: an Emerging area in anti-cancer drug discovery.INDEX.
Responsibility: edited by Asfar S. Azmi.


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