Systems Biomedicine

Systems biology is a critical emerging field that quantifies and annotates the complexity of biological systems in order to construct algorithmic models to predict outcomes from component input. Applications in medicine are revolutionizing our understanding of biological processes and systems.

Systems Biomedicine is organized around foundations, computational modeling, network biology, and integrative biology, with the extension of examples from human biology and pharmacology, to focus on the applications of systems approaches to medical problems. An integrative approach to the underlying genomic, proteomic, and computational biology principles provides researchers with guidance in the use of qualitative systems and hypothesis generators. To reflect the highly interdisciplinary nature of the field, careful detail has been extended to ensure explanations of complex mathematical and biological principles are clear with minimum technical jargon.

• Organized to reflect the important distinguishing characteristics of systems strategies in experimental biology and medicine
• Provides precise and comprehensive measurement tools for constructing a model of the system and tools for defining complexity as an experimental dependent variable
• Includes a thorough discussion of the applications of quantitative principles to biomedical problems

cell, molecular, and developmental biology, genetics/ genomics, mathematics, biotechnology, biological and chemical engineering, physiology, and bioinformatics researchers involved in systems biology studies; students of systems biology

I. Foundations of Systems Biology Genomic Technologies for Systems Biology Proteomic Technologies

II. Computational Modeling of Biological Systems Dynamic Systems Analysis Spatio-temoral Modeling of Cellular Systems High-level modeling of biological networks High-Performance Computing Modeling Software

III. Network Biology Protein Interaction Networks Signaling Networks with Modeling Strategies Protein networks in integrin-mediated adhesions Network Imaging RNAi networks

IV. Integrative Biology of Higher Biosystems Signal Processing and Integration During Development Systems Biology and Stem Cell Biology Application of immunologic modeling in drug discovery and development

V. Systems Medicine Applications Systems Pharmacology