细胞通过学习制热力来解决吉布斯悖论
1University of Nevada, Reno School of Medicine, Reno, NV, 89521, USA. jebaker@unr.edu.
Scientific reports
|October 3, 2023
概括
进化利用增加的化学 (疾病) 来产生秩序,以肌肉蛋白质为模型. 这个过程类似于机器学习,解释了生命如何从混乱中创造秩序.
科学领域:
- 生物物理学的生物物理.
- 进化生物学 进化生物学
- 生物化学 生物化学
背景情况:
- 进化是一个自然的机器学习过程.
- 生活从混乱中产生秩序,这是一个复杂的问题.
- 了解这个过程是对基本生物学问题的关键.
研究的目的:
- 描述生命从混乱中创造秩序的机制.
- 用肌肉作为模型系统来解释这种机制.
- 将进化的解决方案与基本的热力学原理联系起来.
主要方法:
- 使用肌肉作为模型生物系统.
- 分析参与能量转导的蛋白质的物理性质.
- 检查蛋白质如何与化学相互作用.
主要成果:
- 进化已经优化了蛋白质的物理特性,以管理化学的变化.
- 这种蛋白调节允许从混乱中产生定向的化学力量.
- 这些发现与吉布斯关于"感性"属性的假设一致.
结论:
- 生命从混乱中创造秩序的能力是通过进化调整的蛋白质特性来实现的.
- 这个机制为一个长期存在的科学和哲学悖论提供了解决方案.
- 这项研究阐明了生物能量转换的基本原理.
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