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
Ergebnisse 1-5 von 40
... metabolomics. In Part II, the focus shifts to chapters discussing the use of computational tools to investigate cancer progression, maintenance, and angiogenesis. Special emphasis has been given to systems and network evaluations of the ...
Asfar S Azmi. Part I Systems Biology in Cancer 1 Systems Biology Approach to Metabolomics in Cancer Studies.................................................................................
Asfar S Azmi. Systems Biology in Cancer Systems Biology Approach to Metabolomics in Cancer Studies Mariano Bizzarri, Part I Part I: Systems Biology in Cancer.
... Dinicola, and Cesare Manetti Contents 1 4 5 6 7 8 9 Why Are Metabolomics Studies so Relevant for Cancer Studies?..................................... 4 2 Metabolomic Fingerprint of Cancer.................................................
... metabolomic fingerprint. Tumour metabolome hardly could be mechanistically linked to the linear dynamics of few gene regulatory networks thus, it is more likely to be the complex end point of several interacting non-linear pathways ...
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 |