Systems biology in cancer research and drug discovery / 
Asfar S. Azmi, editor. 
 - Dordrecht :  Springer,  2012. 
 - 1 online resource. 
<br/><br/>Includes bibliographical references and index. 
<br/><br/> Systems Biology in Cancer.  Systems Biology Approach to Metabolomics in Cancer Studies /  System Biology Approach to Study Cancer Related Pathways /  Modeling Oncogenic Signaling Networks from Gene Expression Dynamics /  An Integrated Systems Approach to the Study of Pancreatic Cancer /  Protein Microarray: An Ideal Platform for Systems Biology /  Systems Biology of Pancreatic Cancer: The Role of Tumor-Microenvironment Communication in Development, Progression and Therapy Resistance /  Mariano Bizzarri, Simona Dinicola and Cesare Manetti --  Yike Guo and Xian Yang --  Aliccia Bollig-Fischer --  Emanuela Gadaleta, Rosalind J. Cutts, Ajanthah Sangaralingam, Nicholas R. Lemoine and Claude Chelala --  Zong-Xiu Wang, Rui-Ping Deng, Shu-Juan Guo, Ji-Bin Zhang and Sheng-Ce Tao --  Sara Chiblak, Fevzi Demircioglu, Azadeh Fahim Golestaneh and Amir Abdollahi .  pt. 1.  System Approaches to Understanding Cancer.  Understanding Cancer Progression Using Protein Interaction Networks /  Understanding the Dynamics of Tumor Angiogenesis: A Systems Biology Approach /  Applications of Network Bioinformatics to Cancer Angiogenesis /  Emre Guney, Rebeca Sanz-Pamplona, Angels Sierra and Baldo Oliva --  M. M. Quinas-Guerra, T. M. Ribeiro-Rodrigues, Juan Carlos Rodruez-Manzaneque and Rui D. M. Travasso --  Corban G. Rivera, Liang-Hui Chu, Joel S. Bader and Aleksander S. Popel .  pt. 2.  Systems and Network Biology in Decoding miRNA Complexity.  Human MicroRNA Targetome Indicates a Specialized Role of MicroRNAs in Regulation of Oncogenesis /  Novel and Alternative Bioinformatics Approaches to Understand miRNA-mRNA Interactome in Cancer Research /  Prioritizing Candidate Disease miRNAs by Topological Features in the miRNA-Target Dysregulated Network /  Jun-ichi Satoh --  Xiaohong Li, Carolyn M. Klinge and Susmita Datta --  Xia Li, Juan Xu and Yongsheng Li .  pt. 3.  Network Modeling in Cancer Drug Discovery and Clinical Trials.  Development and Clinical Implementation of Reverse Phase Protein Microarrays for Protein Network Activation Mapping: Personalized Cancer Therapy /  The Principle of Rational Design of Drug Combination and Personalized Therapy Based on Network Pharmacology /  Relevance of Network Hierarchy in Cancer Drug-Target Selection /  Computational Infrastructures for Large-Scale Data Access and Analysis in Post-Genomic Clinical Trials /  Network Pharmacology: An Emerging Area in Anti-Cancer Drug Discovery /  Mariaelena Pierobon, Julie Wulfkuhle, Lance A. Liotta and Emanuel F. Petricoin III --  Jianghui Xiong, Simon Rayner, Fengji Liang and Yinghui Li --  Aritro Nath and Christina Chan --  Manolis Tsiknakis --  Asfar S. Azmi, Frances W. J. Beck, Bin Bao, Fazlul H. Sarkar and Ramzi M. Mohammad.  pt. 4. 
<br/><br/> ''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 in understanding aberrant signaling in cancer; in identifying biomarkers and prognostic markers especially focused on angiogenesis pathways; in unwinding microRNAs complexity; and in anticancer drug discovery and in clinical trial design. This book revie 
<br/><br/><label>ISBN: </label>9789400748187 (hbk.)  RM649.28 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Cancer--Research.<br/>Systems Biology.<br/>Drug development.<br/>Drugs--Design.<br/>Pharmacy--Technological innovations.