Title :
Design of Synthetic Genetic Oscillators Based on RSGA
Author :
Chang, Yen-Chang ; Lin, Chun-Liang
Author_Institution :
Dept. of Electr. Eng., Nat. Chung Hsing Univ., Taichung, Taiwan
Abstract :
Synthetic biology is highly valued in the recent decade. In a previous study, Elowitz and Leibler have made a biological oscillator in consisting of three genes, and found out its mathematical expressions. In which, design of an oscillator is regarded as a tracking design problem. Designing the optimal transcription rates of mRNA and the decaying rate of protein concentration to track desired sinusoidal signal and achieve the best oscillation have becoming a challenge. Genetic algorithm (GA) bears the feature of searching the global optimal for the optimization problem. However, directly applying that kind of algorithms usually leads to premature convergence of the solution and cannot result in solution with the cheapest structure. In this paper, we introduce the real structure genetic algorithm (RSGA) to solve for the design problem of synthetic biological oscillators. The design approach is shown to be capable of yielding genetic oscillators with a cheapest structure.
Keywords :
bioinformatics; genetic algorithms; genetics; proteins; RSGA; biological oscillator; convergence; mRNA; protein concentration; real structure genetic algorithm; synthetic biology; synthetic genetic oscillators; tracking design problem; Biological cells; Biological system modeling; Genetic algorithms; Genetics; Oscillators; Proteins; Synthetic biology; biological oscillator; real structure genetic algorithm;
Conference_Titel :
Bioinformatics and Bioengineering (BIBE), 2011 IEEE 11th International Conference on
Conference_Location :
Taichung
Print_ISBN :
978-1-61284-975-1
DOI :
10.1109/BIBE.2011.50