非平衡的生物物理过程的计算表达力的限制
Carlos Floyd1,2, Aaron R Dinner3,4,5, Arvind Murugan4,6
1The Chicago Center for Theoretical Chemistry, The University of Chicago, Chicago, IL, USA. csfloyd@uchicago.edu.
Nature communications
|August 5, 2025
概括
由于热力学约束,生物系统在分类化学状态方面面临限制. 输入的多重性,就像向多个基质的酶一样,可以克服这些限制,增强信息处理能力.
科学领域:
- 生物物理学的生物物理.
- 生物化学网络 生物化学网络
- 计算生物学 计算生物学
背景情况:
- 生物决策通常涉及复杂化学状态的分类.
- 这种分类的基础生物物理和计算机制尚未得到充分理解.
研究的目的:
- 研究一般生物物理过程中对分类能力的根本局限性.
- 确定可以克服生物系统中这些局限性的机制.
主要方法:
- 利用马尔科夫跳跃过程作为生物化学网络的数学抽象.
- 导出了一个新的非平衡热力学约束.
主要成果:
- 揭示了由于热力学约束而产生的生物物理过程的分类能力的普遍限制.
- 证明了输入多重性,例如具有多个目标的酶,可以克服这些局限性.
结论:
- 调整输入的多重性可以指数地增加生物系统的信息分类和处理能力.
- 结果提供了类似于网络深度如何增强神经网络能力的见解.
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