Introduction to Synthetic Biology

About Modeling, Computation, and Circuit Design
1. Auflage 2018
ISBN: 978-981-10-8751-6
Verlag: Springer Nature Singapore

Buch, Englisch, 187 Seiten, Format (B × H): 168 mm x 240 mm, Gewicht: 3843 g

Reihe: Learning Materials in Biosciences

The textbook is based on the lectures of the course “Synthetic Biology” for Master’s students in biology and biotechnology at the Harbin Institute of Technology. The goal of the textbook is to explain how to make mathematical models of synthetic gene circuits that will, later on, drive the circuit implementation in the lab. Concepts such as kinetics, circuit dynamics and equilibria, stochastic and deterministic simulations, parameter analysis and optimization are presented. At the end of the textbook, a chapter contains a description of structural motifs (e.g. positive and negative feedback loops, Boolean gates) that carry out specific functions and can be combined into larger networks. Moreover, several chapters show how to build up (an analyse, where possible) models for synthetic gene circuits with four different open-source software i.e. COPASI, XPPAUT, BioNetGeN, and Parts & Pools-ProMoT.

Zielgruppe

Graduate

Autoren/Hrsg.

Marchisio, Mario Andrea

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie
• Naturwissenschaften Biowissenschaften Biowissenschaften

Inhaltsverzeichnis

Chapter 1: Introduction.- Chapter 2: Modeling: choosing a kinetics.- Chapter 3: Modeling at computer: getting started.- Chapter 4: Stochastic modeling.- Chapter 5: Steady states.- Chapter 6: Stability analysis: hysteresis and oscillations.- Chapter7: Toggle switch: dynamics and steady states.- Chapter 8: Rule-based modeling.- Chapter 9: Gene circuit modular computational design.- Chapter 10: Parameter analysis.- Chapter 11: Circuit analysis with COPASI.- Chapter 12: Circuit motifs.

Über Autor(innen)

Mario Andrea Marchisio has obtained his PhD in Physics at the University of Trento, Italy in 2002. After working for four years at the CILEA computing center in Milan, Italy, he spent six years as a Post Doc at the ETH Zurich, Switzerland. Since September 2013, he is working as an Associate Professor in Synthetic Biology at the Harbin Institute of Technology, China.