First Course in Systems Biology

A First Course in Systems Biology is an introduction for advanced undergraduate and graduate students to the growing field of systems biology. Its focus is the design and analysis of computational models and their applications to diverse biomedical phenomena.

List of contents

1. Biological Systems
2. Introduction to Mathematical Modeling
3. Static Network Models
4. Discrete Biological Systems
5. Continuous Biological Systems
6. Optimal Models
7. Gene Systems
8. Protein Systems
9. Metabolic Systems
10. Signaling Systems
11. Multiscale Modeling and Agent-based Simulations
12. Physiological Modeling: The Heart as an Example
13. Systems Biology in Medicine and Drug Development
14. Population Systems
15. Emerging Topics in Systems Biology
Glossary

About the author

Eberhard O. Voit has been working in systems biology for over forty years. He is considered an expert on pathway analysis and biochemical systems theory. He is particularly interested in the education of the next generation of computational systems biologists and has numerous books and over 300 articles and book chapters to his credit.
Melissa L. Kemp is a systems biologist who has been combining experimental and computational studies for over two decades. She is interested in developing methods of computational systems biology to investigate the role of cellular metabolism in influencing information processing and cell fate decisions and modes of communication that drive self-organization in multicellular systems.

Summary

A First Course in Systems Biology is an introduction for advanced undergraduate and graduate students to the growing field of systems biology. Its focus is the design and analysis of computational models and their applications to diverse biomedical phenomena.

Product details

• Authors: Melissa L. Kemp, Eberhard Voit, Eberhard (Georgia Institute of Technology Voit
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 20.01.2025
• EAN: 9781032515434
• ISBN: 978-1-0-3251543-4
• No. of pages: 518
• Subjects: Natural sciences, medicine, IT, technology > Technology > Miscellaneous; SCIENCE / Life Sciences / General, COMPUTERS / General, SCIENCE / Life Sciences / Biology, SCIENCE / Biotechnology, COMPUTERS / Security / General, SCIENCE / Life Sciences / Cell Biology, SCIENCE / System Theory, COMPUTERS / Reference, MEDICAL / Biotechnology, biotechnology, Cellular biology (cytology)