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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... integration of pathway cross-talk and the versatility of component function, two regulatory motifs that generate a multitude of complex behaviour” (Kolchet al. 2005). The system is deeply affected by the so-called “initial conditions ...
... integrating all of the different levels of information, the intention is to model the behaviour of the system using computational methods and in silico reconstruction that may allow the description of the behaviour of the system under ...
... integrate some entrenched aspects, as complexity, hierarchical structured levels of observation, geometrical relationships, non-linear dynamics, network modelling, influence of biophysical constraints, operating on different scales ...
... integration of numerous genes and their products are targeted to respond to stress signals that potentially regulate cell growth progress (Vogelstein et al. 2000). Its activation leads to cell cycle arrest, cell senescence or cellular ...
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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 |