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构造编程的 DNA 计算

Qian Ling¹, Bozhao Li^2,3, Yuhua Feng^1,4

¹School of Computer Science, Peking University, Beijing 100871, China.

Science advances

|February 18, 2026

概括

这项研究介绍了一种全osteric DNA 计算框架,该框架集成了序列和构造动态,用于高级信号处理. 这种DNA计算方法扩大了合成生物学和精密治疗的信号传输能力.

科学领域:

合成生物学合成生物学
生物物理学的生物物理.
在DNA计算中使用DNA计算.

背景情况:

生物系统使用多维信号来控制细胞.
目前的合成DNA网络主要依赖于序列可编程性,限制了它们的监管范围.
整合结构动力学为基于DNA的计算提供了一个新的维度.

研究的目的:

开发一个结合序列和构造信号的全性DNA计算框架.
在合成DNA网络中实现集成的多层次信号处理.
为了在体内应用中将DNA计算与遗传控制相结合.

主要方法:

使用不同长度的聚胺环编码构造信号.
使用催化性全性发针组件进行信号放大.
设计全基DNA神经网络用于构造信号歧视.
开发用于基因表达调节的微RNA响应性DNA框架.

主要成果:

该框架执行循环依赖的逻辑操作,并扩展信号范围.
催化组件实现了30倍的信号放大,并改善了信号噪声比.
基于循环长度的DNA神经网络区分了基于两个核酸分辨率的构造信号.
微RNA响应系统在体内证明了基因表达调节.

结论:

建立了适应性DNA计算的新型形态信号处理范式.
证明了在DNA网络中整合序列和结构动态的潜力.
铺平了先进合成生物学应用和精密治疗的道路.

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