Design Automation in Synthetic Biology

被引：50

作者：

Appleton, Evan ^{[1
]}

Madsen, Curtis ^{[2
,3
]}

Roehner, Nicholas ^{[2
,3
]}

Densmore, Douglas ^{[2
,3
]}

机构：

[1] Harvard Univ, Harvard Med Sch, Dept Genet, Boston, MA 02115 USA

[2] Boston Univ, Biol Design Ctr, Boston, MA 02215 USA

[3] Boston Univ, Dept Elect & Comp Engn, Boston, MA 02215 USA

来源：

COLD SPRING HARBOR PERSPECTIVES IN BIOLOGY | 2017年 / 9卷 / 04期

关键词：

COMBINATORIAL DESIGN; MARKUP LANGUAGE; SYSTEMS; TOOL; DNA; OPTIMIZATION; SIMULATION; SELECTION; STANDARD; PLATFORM;

D O I：

10.1101/cshperspect.a023978

中图分类号：

Q2 [细胞生物学];

学科分类号：

071009 ; 090102 ;

摘要：

Design automation refers to a category of software tools for designing systems that work together in a workflow for designing, building, testing, and analyzing systems with a target behavior. In synthetic biology, these tools are called bio-design automation (BDA) tools. In this review, we discuss the BDA tools areas-specify, design, build, test, and learn-and introduce the existing software tools designed to solve problems in these areas. We then detail the functionality of some of these tools and show how they can be used together to create the desired behavior of two types of modern synthetic genetic regulatory networks.

引用

页数：27

共 50 条

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