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villin 头部结构域的折叠网络。

Folding network of villin headpiece subdomain.

机构信息

Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.

出版信息

Biophys J. 2010 Nov 17;99(10):3374-84. doi: 10.1016/j.bpj.2010.08.081.

Abstract

Protein folding is a complex multidimensional process that is difficult to illustrate by the traditional analyses based on one- or two-dimensional profiles. Analyses based on transition networks have become an alternative approach that has the potential to reveal detailed features of protein folding dynamics. However, due to the lack of successful reversible folding of proteins from conventional molecular-dynamics simulations, this approach has rarely been utilized. Here, we analyzed the folding network from several 10 μs conventional molecular-dynamics reversible folding trajectories of villin headpiece subdomain (HP35). The folding network revealed more complexity than the traditional two-dimensional map and demonstrated a variety of conformations in the unfolded state, intermediate states, and the native state. Of note, deep enthalpic traps at the unfolded state were observed on the folding landscape. Furthermore, in contrast to the clear separation of the native state and the primary intermediate state shown on the two-dimensional map, the two states were mingled on the folding network, and prevalent interstate transitions were observed between these two states. A more complete picture of the folding mechanism of HP35 emerged when the traditional and network analyses were considered together.

摘要

蛋白质折叠是一个复杂的多维过程,传统的基于一维或二维谱的分析方法很难说明。基于转变网络的分析已成为一种替代方法,有可能揭示蛋白质折叠动力学的详细特征。然而,由于传统分子动力学模拟中缺乏蛋白质的成功可逆折叠,因此很少采用这种方法。在这里,我们分析了几个 10 μs 传统分子动力学可逆折叠轨迹的 villin 头部片段(HP35)的折叠网络。与传统的二维图谱相比,折叠网络揭示了更多的复杂性,并展示了在展开状态、中间状态和天然状态下的多种构象。值得注意的是,在折叠景观上观察到展开状态下的深焓陷阱。此外,与二维图谱上明显分离的天然状态和主要中间状态相比,这两种状态在折叠网络中混合在一起,并且在这两种状态之间观察到普遍的中间状态转变。当传统分析和网络分析结合在一起时,HP35 的折叠机制的更完整的图景出现了。

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Folding network of villin headpiece subdomain. villin 头部结构域的折叠网络。
Biophys J. 2010 Nov 17;99(10):3374-84. doi: 10.1016/j.bpj.2010.08.081.
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