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首页> 外文期刊>The Journal of Chemical Physics >The role of sidechain packing and native contact interactions in folding: Discontinuous molecular dynamics folding simulations of an all-atom Go model of fragment B of Staphylococcal protein A
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The role of sidechain packing and native contact interactions in folding: Discontinuous molecular dynamics folding simulations of an all-atom Go model of fragment B of Staphylococcal protein A

机译:侧链堆积和天然接触相互作用在折叠中的作用:金黄色葡萄球菌蛋白A片段B的全原子Go模型的不连续分子动力学折叠模拟

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Protein topology, which refers to the arrangement of secondary structures of proteins, has been extensively investigated to examine its role in protein folding. However, recent studies show that topology alone cannot account for the variation of folding behaviors observed in some proteins of the same structural family In a recent work, we showed that the native structure of the second beta hairin of protein G predicts a folding mechanism that is different from topology-based models. Here, we continue to examine bow much one can learn about folding mechanism from natve structure. This workj focuses to examine how much one can learn about folding mechanpolar hydrogen)Go model interacting with simple discontinuous potentials, the folding of the model BpA was observed in 112 out of 249 trajectories within 50 h of CPU times on a Pentium PC (1 GHz). The model successfully captured several specific properties of BpA that have been observed experimentally. H_2-H_3 microdomain compared to the H_1-H_2 microdomain. These specific details were not produced by a topology-based square-well model of BpA. Thus, the result further supports the important role of sidechain packing in determining the specific pathway of protein folding. Additional 96 000 short simulations were performed to locate the transition states of the two folding pathways. The limitation of the Go model and its possible improvement are also discussed.
机译:蛋白质拓扑结构,是指蛋白质二级结构的排列,已被广泛研究以检查其在蛋白质折叠中的作用。但是,最近的研究表明,仅拓扑结构不能解释在相同结构家族的某些蛋白质中观察到的折叠行为的变化。在最近的工作中,我们表明,蛋白质G的第二个beta毛蛋白的天然结构预测了一种折叠机制,即与基于拓扑的模型不同。在这里,我们继续研究弓,人们可以从中枢结构中学到折叠机制。这项工作的重点是研究人们可以学到多少关于折叠机械极性氢的知识)Go模型与简单的不连续电势相互作用,在奔腾PC(1 GHz)上的CPU时间50小时内,在249条轨迹中的112条轨迹中观察到了BpA模型的折叠)。该模型成功捕获了BpA的几种特定特性,这些特性已通过实验观察到。 H_2-H_3微域与H_1-H_2微域相比。这些特定的细节不是由BpA的基于拓扑的方井模型产生的。因此,该结果进一步支持了侧链堆积在确定蛋白质折叠的特定途径中的重要作用。进行了另外的96 000次简短仿真,以定位两个折叠路径的过渡状态。还讨论了Go模型的局限性及其可能的改进。

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