Hallinan Jennifer S, Misirli Goksel, Wipat Anil
School of Computing Science, Newcastle University, Newcastle upon Tyne UK NE1 7RU.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:768-74. doi: 10.1109/IEMBS.2010.5626353.
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.
生物系统本质上是随机的，而在模拟基因回路时这一事实常常被忽视。合成生物学旨在从头设计基因回路，因此不能忽视随机行为的影响。由于计算设计工具对于大规模合成生物学至关重要，所以深入理解随机性在分子生物学中的作用，并将这种理解融入到基因回路设计的计算工具中就显得尤为重要。我们报告了一项关于将进化算法与随机模拟相结合用于基因回路设计的研究，旨在设计基于枯草芽孢杆菌sin操纵子的调控系统。
