- 448 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About This Book
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
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Table of contents
- Cover image
- Table of Contents
- Copyright
- Overview
- Chapter 1. Foundations for Systems Biomedicine
- Chapter 2. Genomic Technologies for Systems Biology
- Chapter 3. Proteomics Technologies
- Chapter 4. Cellular Regulatory Networks
- Part I. Transcriptional Networks
- Part II. Protein Phosphorylation Networks
- Chapter 5. The Interface of MicroRNAs and Transcription Factor Networks
- Chapter 6. Protein Networks in Integrin-Mediated Adhesions
- Chapter 7. Systems Biology and Stem Cell Biology
- Chapter 8. Computational Challenges in Systems Biology
- Chapter 9. High-level Modeling of Biological Networks
- Chapter 10. Systems Analysis for Systems Biology
- Chapter 11. The Virtual Cell Project
- Chapter 12. Software Tools for Systems Biology
- Chapter 13. Physiome Mark-up Languages for Systems Biology
- Chapter 14. Systems Approaches to Developmental Patterning
- Chapter 15. Applications of Immunologic Modeling to Drug Discovery and Development
- Chapter 16. Systems Pharmacology in Cancer
- Chapter 17. Systems Biology in Drug Discovery
- Chapter 18. Quantitative Biology and Clinical Trials
- Index