在非马科夫的自我调节基因表达系统中的最佳信息传输
Zihao Wang1, Meiling Chen2, Zhenquan Zhang1
1Guangdong Province Key Laboratory of Computational Science, Sun Yat-sen University, Guangzhou, 510275, China; School of Mathematics, Sun Yat-Sen University, Guangzhou, 510275, China.
Bio Systems
|December 10, 2025
概括
基因表达中的分子记忆增强了调节能力. 非马科夫动力学,或记忆,在基因调节网络中增强信息传输,影响信号忠实度.
科学领域:
- 系统生物学 系统生物学
- 理论生物学 理论生物学
- 生物物理学的生物物理.
背景情况:
- 基因表达涉及多个步骤,导致固有的噪音和分子记忆.
- 这种分子记忆导致非马科夫动态,影响信号传输保真度.
- 了解记忆如何影响基因调节网络中的信息容量至关重要.
研究的目的:
- 开发一个理论框架来分析非马科夫基因表达系统中的信息传输.
- 研究分子记忆和反对信息容量的影响.
- 探索不同物理条件如何影响信息流.
主要方法:
- 开发了非马科维亚自调节基因表达的理论框架.
- 引入了有效的过渡率,以创建一个相当的马克夫式.
- 分析了不同监管制度下的信息传输能力 (单稳定和双稳定).
主要成果:
- 非马科文主义显著提高了监管能力,而不仅仅是反.
- 在单稳定系统中,内存对信息传输的影响取决于反强度.
- 在二位式系统中,增加的非马科维性降低了最大的信息传输.
结论:
- 分子记忆在基因调节网络的信息处理能力中起着至关重要的作用.
- 开发的框架为研究复杂生物系统中的信息流提供了一个可概括的策略.
- 这项研究提供了关于优化信号传输和基因表达中的监管效率的见解.
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