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A simple method for probing the mechanical unfolding pathway of proteins in detail

机译:详细探讨蛋白质机械展开途径的简单方法

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Atomic force microscopy is an exciting new single-molecule technique to add to the toolbox of protein (un)folding methods. However, detailed analysis of the unfolding of proteins on application of force has, to date, relied on protein molecular dynamics simulations or a qualitative interpretation of mutant data. Here we describe how protein engineering Φ value analysis can be adapted to characterize the transition states for mechanical unfolding of proteins. Single-molecule studies also have an advantage over bulk experiments, in that partial Φ values arising from partial structure in the transition state can be clearly distinguished from those averaged over alternate pathways. We show that unfolding rate constants derived in the standard way by using Monte Carlo simulations are not reliable because of the errors involved. However, it is possible to circumvent these problems, providing the unfolding mechanism is not changed by mutation, either by a modification of the Monte Carlo procedure or by comparing mutant and wild-type data directly. The applicability of the method is tested on simulated data sets and experimental data for mutants of titin 127.
机译:原子力显微镜是一种令人兴奋的新单分子技术,可添加到蛋白质(非)折叠方法的工具箱中。然而,迄今为止,对蛋白质在作用力下展开的详细分析依赖于蛋白质分子动力学模拟或突变数据的定性解释。在这里,我们描述了蛋白质工程Φ值分析如何适用于表征蛋白质机械展开的过渡态。单分子研究与批量实验相比也具有优势,因为可以将过渡状态下部分结构产生的部分Φ值与通过替代途径得到的平均Φ值区分开来。我们显示,由于涉及误差,以标准方式通过使用蒙特卡洛模拟得出的展开速率常数不可靠。但是,有可能规避这些问题,只要通过修改蒙特卡洛程序或直接比较突变体数据和野生型数据,就不会通过突变改变展开机制。该方法的适用性在替丁127突变体的模拟数据集和实验数据上进行了测试。

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