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On the Interpretation of Force-Induced Unfolding Studies of Membrane Proteins Using Fast Simulations

机译:用快速模拟对膜蛋白的力诱导展开研究的解释

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摘要

Single-molecule force spectroscopy has proven extremely beneficial in elucidating folding pathways for membrane proteins. Here, we simulate these measurements, conducting hundreds of unfolding trajectories using our fast Upside algorithm for slow enough speeds to reproduce key experimental features that may be missed using all-atom methods. The speed also enables us to determine the logarithmic dependence of pulling velocities on the rupture levels to better compare to experimental values. For simulations of atomic force microscope measurements in which force is applied vertically to the C-terminus of bacteriorhodopsin, we reproduce the major experimental features including even the back-and-forth unfolding of single helical turns. When pulling laterally on GlpG to mimic the experiment, we observe quite different behavior depending on the stiffness of the spring. With a soft spring, as used in the experimental studies with magnetic tweezers, the force remains nearly constant after the initial unfolding event, and a few pathways and a high degree of cooperativity are observed in both the experiment and simulation. With a stiff spring, however, the force drops to near zero after each major unfolding event, and numerous intermediates are observed along a wide variety of pathways. Hence, the mode of force application significantly alters the perception of the folding landscape, including the number of intermediates and the degree of folding cooperativity, important issues that should be considered when designing experiments and interpreting unfolding data.
机译:单分子力光谱证明是非常有益的,阐明膜蛋白的折叠途径。在这里,我们模拟这些测量,使用我们的快速上行算法进行数百个展开轨迹,以便足够速度速度来再现可能使用全原子方法错过的关键实验特征。速度还使我们能够确定拉动速度对破裂水平上的对数依赖性,以更好地比较实验值。对于原子力显微镜测量的模拟,其中力垂直施加到细菌磷脂的C-末端,我们再现了一个主要的实验特征,包括单螺旋转弯的前后展开。当横向拉动GLPG以模仿实验时,我们观察到春季刚度的相当不同的行为。在磁性镊子的实验研究中使用的软弹簧,在初始展开事件之后,该力仍然几乎恒定,并且在实验和模拟中观察到少数途径和高度的合作。然而,在刚性弹簧中,在每个主要展开事件之后,力落到零附近,并且沿着各种途径观察到许多中间体。因此,力应用模式显着改变了折叠景观的感知,包括中间体的数量和折叠协作程度,在设计实验和解释展开数据时应该考虑的重要问题。

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