适应转换生物化学控制模块的噪声特性
Brayden Kell1,2,3,4, Ryan Ripsman1,5, Andreas Hilfinger1,2,6,7
1Department of Physics, University of Toronto, Toronto, ON M5S 1A7, Canada.
概括
合成生物学的目标是独立于网络的模块. 相反的整体反 (AIF) 提供了强大的适应性,但可能会增加噪声,尽管偏差或变体可以抑制波动.
科学领域:
- 合成生物学 合成生物学
- 控制理论 控制理论 控制理论
- 生物化学工程是生物化学工程.
背景情况:
- 合成生物学寻求强大的,独立于网络的功能模块.
- 相反的整体反 (AIF) 提供了对扰动的完美适应.
- 之前的研究表明,AIF的稳定性增加了随机波动.
研究的目的:
- 在AIF模块中理论分析稳定性和噪声之间的权衡.
- 调查AIF可以实现噪音抑制的条件.
- 为了确定适合合成生物学应用的AIF变体.
主要方法:
- 对AIF控制模块动态的理论分析.
- 生物化学系统的数学建模与反控制.
- 随机波动和适应性质的量化.
主要成果:
- 证实了理想AIF的完美适应和增加噪音之间的权衡.
- 证明,偏离完美的适应使噪声抑制具有能量成本.
- 确定了一种AIF变种,即使具有完美的适应性,也可以实现噪声抑制.
结论:
- 在AIF中,稳定性-噪音权衡是单一的限制,而不是固有的属性.
- 偏离完美的适应或特定的AIF变体的偏差可以减轻噪音.
- 一个非典型的AIF配置为合成生物学中的噪声抑制提供了一个有希望的解决方案.
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