Systems Biology: An Integrated Platform for Bioinformatics, Systems Synthetic Biology and Systems Metabolic Engineering


Bor-Sen Chen and Chia-Chou Wu
National Tsing Hua University, Taiwan

Series: Systems Biology – Theory, Techniques and Applications
BISAC: SCI008000

Systems biology sits at the heart of new integrative paradigm in the 21st century, the book could gain an insight into (i) system structure and the mechanism of biological networks such as gene regulation, protein interactions, signaling, and metabolic pathways; (ii) system dynamics of biological networks, which provides an understanding of stability, robustness, and transduction ability through system identification, and through system analysis methods; (iii) system control methods at different levels of biological networks, which provide an understanding of systematic mechanisms to robustly control system states, minimize malfunctions, and provide potential therapeutic targets in disease treatment; (iv) systematic design methods for the modification and construction of biological networks with desired behaviors, which provide system design principles and system simulations for synthetic biology designs and systems metabolic engineering.

This book not only describes the current developments in systems biology, systems synthetic biology, and systems metabolic engineering for engineering and biology researchers but also discusses challenges and future prospects for systems biology and the concept of systems biology as an integrated platform for bioinformatics, systems synthetic biology, and systems metabolic engineering. (Imprint: Nova)




Table of Contents


Chapter 1 – Introduction to Systems Biology (pp. 1-12)

Chapter 2 – Preliminary Mathematics (pp. 13-36)

Chapter 3 – Reverse Engineering in Systems Biology (pp. 37-46)

Chapter 4 – Systems Biology Approach to GRNs and PPI Networks (pp. 47-92)

Chapter 5 – Measurement of System Characters of Biological Networks via Microarray Data (pp. 93-120)

Chapter 6 – Network Robustness, Filtering, and Transduction Ability Analysis of Stochastic Biological Networks (pp. 121-152)

Chapter 7 – Systems Synthetic Biology (pp. 153-174)

Chapter 8 – Systems Metabolic Engineering (pp. 175-224)

Chapter 9 – Systems Biology Approach by Stochastic Dynamic Nash Games (pp. 225-320)

Chapter 10 – Concluding Remarks and Future Challenges in Systems Biology (pp. 321-324)

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