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. |
Im Buch
... computational technologies that are increasingly being applied in cancer research. Thanks to availability of these high throughput “omic” tools coupled with improvements in specimen collection, researchers are able to capture molecular ...
... computational technologies to define cancer related pathways, oncogene cross-talk, biomarker networks, and cancer metabolomics. In Part II, the focus shifts to chapters discussing the use of computational tools to investigate cancer ...
... Computational Infrastructures for Large-Scale Data Access and Analysis in Post-Genomic Clinical Trials.......................... 363 Manolis Tsiknakis 17 Network Pharmacology: An Emerging Area in Anti-Cancer Drug Discovery ...
... computational methods and in silico reconstruction that may allow the description of the behaviour of the system under any kind of perturbation. The metabolome of a system represents, an 'emergent', dynamical feature resulting from the ...
... computational methods. In other words, computational biology approach which includes modelling and simulation of biological pathways provides insights into clinical problems (Kitano 2002). Quantitative experimental techniques, such as ...
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 |