能源意识技术 基因逻辑电路的映射
Erik Kubaczka1, Maximilian Gehri1, Jérémie J M Marlhens1,2
1Department of Electrical Engineering and Information Technology, TU Darmstadt, Darmstadt, 64283, Germany.
bioRxiv : the preprint server for biology
|October 10, 2024
概括
我们开发了能源意识技术映射,以设计既功能又节能的遗传逻辑电路. 这种方法优化了电路以减少能源消耗,平均提高了37.2%的效率.
科学领域:
- 合成生物学 合成生物学
- 系统生物学 系统生物学
- 生物工程是生物工程.
背景情况:
- 能量消耗对所有生物系统,包括细胞功能至关重要.
- 遗传电路可能会造成能量负担,损害细胞生存和电路功能.
- 现有的基因设计自动化 (GDA) 软件缺乏能量消耗和响应曲线的非平衡模型.
研究的目的:
- 为自动化遗传逻辑电路设计引入能源意识技术映射 (EATM).
- 优化电路的能源效率和功能性能.
- 将非平衡热力学纳入GDA软件中.
主要方法:
- 开发了一种能量意识的非平衡稳定状态 (NESS) 模型,用于基因表达.
- 模拟的能量消散 (与生产率相关) 和转录性爆发.
- 使用基因逻辑回路进行基准测试,对功能优化的电路进行了EATM评估.
主要成果:
- 功能性能和能源效率往往是基因电路的不连接的优化目标.
- 与功能优化的变种相比,EATM平均提高了37.2%的能源效率.
- 通过EATM,可以设计电路的能量效率与一个到两个门小的电路相比,结构变体提供了进一步的改进.
结论:
- 能源意识技术映射通过设计在遗传逻辑电路中实现能源效率.
- 这种方法扩展了当前的GDA工具,并补充了管理细胞负荷的方法 *in vivo*.
- 将能源需求纳入设计过程是开发强大高效合成生物系统的关键.
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