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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.

Medicine. --- Biomedical engineering. --- Biotechnology. --- Systems biology. --- Biomedicine. --- Biomedical Engineering/Biotechnology. --- Systems Biology. --- Biological models. --- Chemical engineering --- Genetic engineering --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Models, Biological --- Synthetic biology. --- Computational biology --- Bioinformatics --- Biological systems --- Molecular biology

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This second edition book provides complete coverage of the computational approaches currently used in Synthetic Biology. New chapters detail computational methods and algorithms for the design of bio-components, insight on CAD programs, analysis techniques, and distributed systems. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, application details for both the expert and non-expert reader, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Computational Methods in Synthetic Biology, Second Edition aims to feature a broad overview of the research areas that can be met in the area of in silico Synthetic Biology.

Bioinformatics. --- Biotechnology. --- Biology—Technique. --- Biological Techniques. --- Chemical engineering --- Genetic engineering --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Data processing