Automated Selection of Synthetic Biology Parts for Genetic Regulatory Networks
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- 作者：Fusun Yaman ; Swapnil Bhatia ; Aaron Adler ; Douglas Densmore ; Jacob Beal
- 刊名：ACS Synthetic Biology
- 出版年：2012
- 出版时间：August 17, 2012
- 年：2012
- 卷：1
- 期：8
- 页码：332-344
- 全文大小：798K
- 年卷期：v.1,no.8(August 17, 2012)
- ISSN：2161-5063
文摘
Raising the level of abstraction for synthetic biology design requires solving several challenging problems, including mapping abstract designs to DNA sequences. In this paper we present the first formalism and algorithms to address this problem. The key steps of this transformation are feature matching, signal matching, and part matching. Feature matching ensures that the mapping satisfies the regulatory relationships in the abstract design. Signal matching ensures that the expression levels of functional units are compatible. Finally, part matching finds a DNA part sequence that can implement the design. Our software tool MatchMaker implements these three steps.