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Systems Synthetic Biology

Download or Read eBook Systems Synthetic Biology PDF written by Bor-Sen Chen and published by Nova Science Publishers. This book was released on 2017 with total page 280 pages. Available in PDF, EPUB and Kindle.
Systems Synthetic Biology
Author :
Publisher : Nova Science Publishers
Total Pages : 280
Release :
ISBN-10 : 1536105260
ISBN-13 : 9781536105261
Rating : 4/5 (60 Downloads)

Book Synopsis Systems Synthetic Biology by : Bor-Sen Chen

Book excerpt: Prof. Chen received the Ph.D degree from the University of Southern California in 1982. He was a professor at National Tsing Hua University and became a distinguished chair professor in 2014. He is a life fellow of IEEE. He has published about 300 journal papers in control, signal processing, communication, systems and synthetic biology. Dr. Hsu received his Ph.D degree form National Tsing Hua University in 2015. Book Description: In this book, the synthetic gene circuits are modeled by nonlinear stochastic systems to consider random genetic variations and random in vivo environmental disturbances. The authors' design purpose is to engineer a robust genetic circuit to achieve a desired behavior or product to tolerate intrinsic random fluctuation and environmental disturbance in the host cell. In this book, the authors first construct several promoter-RBS component libraries according to their regulatory strengths. Then, based on a stochastic system model, they use design biological filters, biological transistor biosensors, genetic lysis circuits, and a genetic transmitter and receiver by selecting adequate promoter-RBS components from their corresponding libraries to meet the prescribed design (user-oriented) specifications through the proposed library-based researching method. These synthetic gene circuits are also implemented by real experiments to confirm their design performance in this book. Based on the purposed synthetic design method, we could achieve these design specifications at one time, saving much trial time by the conventional methods. Therefore, the purposed systematic design methods in this book have many potential applications to more complex gene circuit design of systems synthetic biology in the future.


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