Evolutionary computation for the design of a stochastic switch for synthetic genetic circuits

Jennifer S. Hallinan, Goksel Misirli, Anil Wipat

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

6 Citations (Scopus)

Abstract

Biological systems are inherently stochastic, a fact which is often ignored when simulating genetic circuits. Synthetic biology aims to design genetic circuits de novo, and cannot therefore afford to ignore the effects of stochastic behavior. Since computational design tools will be essential for large-scale synthetic biology, it is important to develop an understanding of the role of stochasticity in molecular biology, and incorporate this understanding into computational tools for genetic circuit design. We report upon an investigation into the combination of evolutionary algorithms and stochastic simulation for genetic circuit design, to design regulatory systems based on the Bacillus subtilis sin operon.

Original languageEnglish
Title of host publication 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2010)
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages768-774
Number of pages7
ISBN (Electronic)9781424441242
ISBN (Print)9781424441235
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, Argentina
Duration: 31 Aug 20104 Sep 2010

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PublisherIEEE
ISSN (Print)1094-687X
ISSN (Electronic)1558-4615

Other

Other2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
CountryArgentina
CityBuenos Aires
Period31/08/104/09/10

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