DocumentCode :
2923273
Title :
Evolutionary computation for the design of a stochastic switch for synthetic genetic circuits
Author :
Hallinan, Jennifer S. ; Misirli, Goksel ; Wipat, Anil
Author_Institution :
Sch. of Comput. Sci., Newcastle Univ., Newcastle upon Tyne, UK
fYear :
2010
fDate :
Aug. 31 2010-Sept. 4 2010
Firstpage :
768
Lastpage :
774
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.
Keywords :
biology computing; evolutionary computation; genetic engineering; genetics; microorganisms; stochastic processes; Bacillus subtilis sin operon; computational design tools; evolutionary algorithms; evolutionary computation; genetic circuit design; large-scale synthetic biology; molecular biology; stochastic switch; synthetic genetic circuits; Biological system modeling; Computational modeling; Genetics; Integrated circuit modeling; Interference; Signal to noise ratio; Stochastic processes; Bacillus subtilis; Bacterial Proteins; Biomimetics; Computer Simulation; Computers, Molecular; Evolution, Molecular; Gene Expression Regulation, Bacterial; Introns; Models, Genetic; Models, Statistical; Signal Processing, Computer-Assisted; Synthetic Biology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4123-5
Type :
conf
DOI :
10.1109/IEMBS.2010.5626353
Filename :
5626353
Link To Document :
بازگشت