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arXiv 2309.06332cond-mat.stat-mech
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从噪声测量中检测分子折叠

Detecting molecular folding from noise measurements

Marc Rico, Felix Ritort

AI总结:

研究单分子拉力实验中的力方差作为分子折叠转变指标,在布朗噪声掩盖信号时,通过调节温度等条件,有效检测低力低信噪比下的折叠事件,并有望推广至RNA和蛋白质折叠中间态的检测。

摘要:

检测分子系统中的构象转变是理解生物过程的关键。在此,我们研究单分子拉力实验中的力方差,将其作为分子折叠转变的指标。我们考虑布朗力涨落较大、掩盖了构象转变特征的力撕裂和跳跃的情况。我们比较了环大小为4、8和20的DNA发夹系统以及110个氨基酸的蛋白质barnase的展开与折叠数据,发现在低力、低信噪比条件下有利于检测折叠事件。特别地,我们讨论了温度作为有用参数的作用,以改善熵驱动过程中折叠力与温度无关时折叠转变的检测。力方差方法可扩展用于检测RNA和蛋白质折叠中难以捉摸的中间态。

英文摘要:

Detecting conformational transitions in molecular systems is key to understanding biological processes. Here, we investigate the force variance in single-molecule pulling experiments as an indicator of molecular folding transitions. We consider cases where Brownian force fluctuations are large, masking the force rips and jumps characteristic of conformational transitions. We compare unfolding and folding data for DNA hairpin systems of loop sizes 4,8, and 20 and the 110 amino acids protein barnase, finding conditions that facilitate the detection of folding events at low forces where the signal-to-noise ratio is low. In particular, we discuss the role of temperature as a useful parameter to improve the detection of folding transitions in entropically driven processes where folding forces are temperature-independent. The force variance approach might be extended to detect the elusive intermediate states in RNA and protein folding.

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