A First Course in Systems Biology - Voit, Eberhard; Kemp, Melissa L.; - Prospero Internet Bookshop

A First Course in Systems Biology
 
Product details:

ISBN13:9781032515458
ISBN10:1032515457
Binding:Hardback
No. of pages:521 pages
Size:280x210 mm
Language:English
Illustrations: 4 Illustrations, black & white; 382 Illustrations, color; 4 Halftones, black & white; 64 Halftones, color; 318 Line drawings, color; 59 Tables, color
700
Category:

A First Course in Systems Biology

 
Edition number: 3
Publisher: Garland Science
Date of Publication:
 
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Short description:

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.

Long description:

A First Course in Systems Biology 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.

Table 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