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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... proteome may be vastly incomplete monitors of regulation of cellular function. This accounts for disappointing results obtained with gene-based approach. Until now, only a few accounts of successful metabolic flux alterations resulting ...
... proteome or in the functional activity of the genome may lead to significant changes in the concentrations of many metabolites (Nielsen and Oliver 2005). 7. Metabolomic. Studies. Promote. a. Systems. Biology. View. of. Cancer. Undoubtedly, ...
... Proteome Res 6:498–505 Griffiths JR, Stubbs M (2003) Opportunities for studying cancer by metabolomics: preliminary observations on tumors deficient in hypoxia-inducible factor 1. Adv Enzyme Regul 43:67–76 Griffiths JR, McIntyre DJO ...
... proteome: cancer-altered metabolism associated with cytochrome c oxidase subunit level variation. Proteomics 4:2789–2795 Kroemer G, Pouyssegur J (2008) Tumour cell metabolism: cancer's Achilles' heel. Cancer Cell 13:472–482 Kunkel M ...
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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 |