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对分子力传感器的in silico分析用于生物系统的机械表征

Diana M Lopez¹, Carlos E Castro², Marcos Sotomayor³

¹Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio; Department of Mechanical and Aerospace Engineering, The Ohio State University, Columbus, Ohio; Biophysics Graduate Program, The Ohio State University, Columbus, Ohio.

Biophysical journal

|February 5, 2025

概括

对生物研究至关重要的分子力传感器进行模拟,以了解其设计和机械性能. 模拟显示了传感器的长度,序列和负载如何影响力响应,指导未来的传感器开发.

科学领域:

生物物理学的生物物理.
分子生物学分子生物学
计算生物学计算生物学

背景情况:

机械力是细胞过程中不可或缺的组成部分,如迁移和感官感知.
分子力传感器可以在生物系统中进行现场力测量.
现有的传感器包括基于和基于DNA的设计,利用弗斯特的共振能量转移 (FRET).

研究的目的:

预测和分析分子力传感器的设计参数和机械性能之间的关系.
通过全原子导向的分子动力学模拟来研究基于的 (蜘蛛丝和合成链接器) 和基于DNA的传感器.
为优化传感器设计和解释实验数据提供机械见解.

主要方法:

在九种不同的分子力传感器 (三种类型:两种,一种DNA) 上进行了全原子控制的分子动力学模拟.
模拟涉及拉伸链和解压DNA链以恒定的速度和恒定的力.
分析的重点是传感器对不同长度,序列,配置和加载速度的响应.

主要成果:

分子力传感器的力响应受到其长度,序列,配置和加载率的显著影响.
体传感器中短暂的二次结构形成和DNA传感器中过度拉伸会影响力测量.
模拟结果提供了传感器设计和机械行为之间的定量关系.

结论:

计算模拟为新型分子力传感器的合理设计提供了有价值的预测.
了解模拟衍生的机械见解对于准确解释实验FRET数据至关重要.
这些发现可以指导光体的选择,并促进各种生物和分子系统的传感器的开发.

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