A First Course in Systems Biology

by Eberhard Voit

Overview

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.

Product Details

ISBN-13:	9780815345688
Publisher:	Taylor & Francis
Publication date:	09/05/2017
Edition description:	New Edition
Pages:	480
Product dimensions:	8.62(w) x 10.88(h) x (d)

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.

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