1.

Record Nr.

UNINA9910786836103321

Autore

Chen Bor-Sen

Titolo

Synthetic gene network : modeling, analysis, and robust design methods / / Bor-Sen Chen, Laboratory of Control and Systems Biology, Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan and Yu-Chao Wang, Institute

Pubbl/distr/stampa

Boca Raton : , : CRC Press/Taylor & Francis Group, , [2014]

©2014

ISBN

0-429-07396-8

1-4665-9271-0

Edizione

[[First edition].]

Descrizione fisica

1 online resource (216 p.)

Disciplina

576.5

Soggetti

Gene regulatory networks

Genetic engineering

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Front Cover; Preface; Contents; Chapter 1: General Introduction; Chapter 2: Mathematical Models and Design Specifications in Synthetic Gene Networks; Chapter 3: Robust Synthetic Biology Designs based on System Dynamic Models; Chapter 4: Robust Synthetic Biology Designs based on Network Evolutionary Methods; Chapter 5: Construction of Promoter and Promoter-RBS Libraries for Synthesis of Gene Networks; Chapter 6: Robust Synthetic Gene Network Designs based on Library-search Method; Chapter 7: Robust Design of Synthetic Biological Filter and Transistor based on Promoter-RBS Libraries

Chapter 8: Communication and Synchronization of a Population of Coupled Synthetic Gene NetworksColor Plate Section; Back Cover

Sommario/riassunto

This book develops a rational design and systematic approach to construct a gene network with desired behaviors. In order to achieve this goal, the registry of standard biological parts and experimental techniques are introduced at first. Then these biological components are characterized by a standard modeling method and collected in the component libraries, which can be efficiently reused in engineering synthetic gene networks. Based on the system theory, some design



specifications are provided to engineer the synthetic gene networks to robustly track the desired trajectory by employing t