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A First Course in Systems Biology

A First Course in Systems Biology

Authors
Publisher Taylor & Francis Inc
Year 05/09/2017
Pages 468
Version paperback
Readership level Professional and scholarly
Language English
ISBN 9780815345688
Categories Biology, life sciences, Cellular biology (cytology)
$114.32 (with VAT)
508.20 PLN / €108.96 / £94.59
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Book description

A First Course in Systems Biology is an introduction for advanced undergraduate and graduate students to the growing field of systems biology. Its main focus is the development of computational models and their applications to diverse biological systems. The book begins with the fundamentals of modeling, then reviews features of the molecular inventories that bring biological systems to life and discusses case studies that represent some of the frontiers in systems biology and synthetic biology. In this way, it provides the reader with a comprehensive background and access to methods for executing standard systems biology tasks, understanding the modern literature, and launching into specialized courses or projects that address biological questions using theoretical and computational means.


New topics in this edition include: default modules for model design, limit cycles and chaos, parameter estimation in Excel, model representations of gene regulation through transcription factors, derivation of the Michaelis-Menten rate law from the original conceptual model, different types of inhibition, hysteresis, a model of differentiation, system adaptation to persistent signals, nonlinear nullclines, PBPK models, and elementary modes.


The format is a combination of instructional text and references to primary literature, complemented by sets of small-scale exercises that enable hands-on experience, and large-scale, often open-ended questions for further reflection.

A First Course in Systems Biology

Table of contents

1. Biological Systems

2. Introduction to Mathematical Modeling

3. Static Network Models

4. The Mathematics of Biological Systems

5. Parameter Estimation

6. Gene Systems

7. Protein Systems

8. Metabolic Systems

9. Signaling Systems

10. Population Systems

11. Integrative Analysis of Genome, Protein, and Metabolite Data: A Case Study in Yeast

12. Physiological Modeling: The Heart as an Example

13. Systems Biology in Medicine and Drug Development

14. Design of Biological Systems

15. Emerging Topics in Systems Biology

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