Systems Biology in Cancer Research and Drug DiscoveryAsfar S Azmi Springer Science & Business Media, 29.09.2012 - 423 Seiten 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 the cancer field where traditional tools have failed to deliver expected promise. This book touches four applications/aspects of systems biology (i) in understanding aberrant signaling in cancer (ii) in identifying biomarkers and prognostic markers especially focused on angiogenesis pathways (iii) in unwinding microRNAs complexity and (iv) in anticancer drug discovery and in clinical trial design. This book reviews the state-of-the-art knowledge and touches upon cutting edge newer and improved applications especially in the area of network modeling. It is aimed at an audience ranging from students, academics, basic researcher and clinicians in cancer research. This book is expected to benefit the field of translational cancer medicine by bridging the gap between basic researchers, computational biologists and clinicians who have one ultimate goal and that is to defeat cancer. |
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... simulate the dynamic features of biological pathways. The core regulation part of the Y. Guo (*) • X. Yang Department of Computing, Imperial College London, London SW7 2AZ, UK e-mail: y.guo@imperial.ac.uk; xian.yang08@imperial.ac.uk 39 ...
... simulation of biological pathways provides insights into clinical problems (Kitano 2002). Quantitative experimental techniques, such as microarray and NGS, provide large scale biological data which cannot be understood intuitively ...
... Simulation, on the other hand, attempts to explore dynamics of a biological system facilitating a system level ... simulation with validated models without carrying out many expensive experiments. Figure 2.1 illustrates an example of ...
... simulation section of this chapter discusses possible crosstalk among p53 and other pathways Pathway simulation Drug discovery Fig. 2.1 Combination of knowledge discovery and simulation approaches for drug detection and points out the ...
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Inhalt
Systems Approaches to Understand Cancer Progression | 165 |
Systems and Network Biology in Decoding miRNA Complexity | 246 |
Network Modeling in Cancer Drug Discovery and Clinical Trials | 307 |
Erratum | 418 |
Index | 419 |