A First Course in Systems Biology
eBook - ePub

A First Course in Systems Biology

  1. 582 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

A First Course in Systems Biology

About this book

A First Course in Systems Biology, Third Edition is an introduction to the growing field of systems biology for advanced undergraduates and graduate students. Its focus is the design and analysis of computational models and their applications to diverse biomedical phenomena, from simple networks and kinetics to complex pathway systems, signal transduction, personalized medicine, and interacting populations. The book begins with the fundamentals of computational modeling, then reviews features of the molecular inventories that bring biological systems to life and ends with case studies that reflect some of the frontiers in systems biology. In this way, the First Course provides the reader with a comprehensive background and with access to methods for executing standard tasks of biomedical systems analysis, exposure to the modern literature, and a foundation for launching into specialized projects that address biomedical questions with theoretical and computational means.

This third edition has been thoroughly updated. It provides an introduction to agent-based and multiscale modeling, a deeper account of biological design principles, and the optimization of metabolic flux distributions. This edition also discusses novel topics of synthetic biology, personalized medicine, and virtual clinical trials that are just emerging on the horizon of this field.

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Yes, you can access A First Course in Systems Biology by Eberhard Voit,Melissa L. Kemp in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Dedication
  6. Contents
  7. About the Authors
  8. Preface
  9. Chapter 1: Biological Systems
  10. Chapter 2: Introduction to Mathematical Modeling
  11. Chapter 3: Static Network Models
  12. Chapter 4: Discrete Biological Systems
  13. Chapter 5: Continuous Biological Systems
  14. Chapter 6: Optimal Models
  15. Chapter 7: Gene Systems
  16. Chapter 8: Protein Systems
  17. Chapter 9: Metabolic Systems
  18. Chapter 10: Signaling Systems
  19. Chapter 11: Multiscale Modeling and Agent-Based Simulations
  20. Chapter 12: Physiological Modeling: The Heart as an Example
  21. Chapter 13: Systems Biology in Medicine and Drug Development
  22. Chapter 14: Population Systems
  23. Chapter 15: Emerging Topics in Systems Biology
  24. Glossary
  25. Index