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arXiv 0812.3426q-bio.BMq-bio.QM
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探索生物分子折叠路径中低密度态的拓扑方法

Topological Methods for Exploring Low-density States in Biomolecular Folding Pathways

Yuan Yao, Jian Sun, Xuhui Huang, Gregory R. Bowman, Gurjeet Singh, Michael Lesnick

摘要:

瞬态中间或过渡态的表征对于描述生物分子折叠途径至关重要,然而这在实验和计算机模拟中都是困难的。这样的瞬态在模拟样本中通常是低群体的。即使对于RNA发夹这样的简单系统,最近也有越来越多的关于多个中间状态存在的争论。在本文中,我们开发了一种计算方法来探索相对较低的人口过渡或中间状态的生物分子折叠途径,基于拓扑数据分析工具,映射器,模拟数据从大规模分布式计算。该方法的灵感来自于数学中经典的Morse理论,该理论通过一些函数水平集来表征高维形状的拓扑结构。在本文中,我们利用一个条件密度过滤器,使我们能够专注于结构的途径,其次是聚类分析的水平集,这有助于分离低人口中间高人口不感兴趣的结构。一个成功的应用,这种方法给出了一个激励的例子,RNA发夹与GCAA tetraloop,在那里我们能够提供结构的证据,从计算机模拟的多个中间状态,并展示不同的图片展开和重折叠途径。该方法能有效处理分布的高度异质性,捕捉多个途径的结构特征,并且比非线性降维或几何嵌入方法对距离度量不敏感。它为我们探索复杂生物分子折叠系统中的低密度中间态提供了一个系统的工具。

英文摘要:

Characterization of transient intermediate or transition states is crucial for the description of biomolecular folding pathways, which is however difficult in both experiments and computer simulations. Such transient states are typically of low population in simulation samples. Even for simple systems such as RNA hairpins, recently there are mounting debates over the existence of multiple intermediate states. In this paper, we develop a computational approach to explore the relatively low populated transition or intermediate states in biomolecular folding pathways, based on a topological data analysis tool, Mapper, with simulation data from large-scale distributed computing. The method is inspired by the classical Morse theory in mathematics which characterizes the topology of high dimensional shapes via some functional level sets. In this paper we exploit a conditional density filter which enables us to focus on the structures on pathways, followed by clustering analysis on its level sets, which helps separate low populated intermediates from high populated uninteresting structures. A successful application of this method is given on a motivating example, a RNA hairpin with GCAA tetraloop, where we are able to provide structural evidence from computer simulations on the multiple intermediate states and exhibit different pictures about unfolding and refolding pathways. The method is effective in dealing with high degree of heterogeneity in distribution, capturing structural features in multiple pathways, and being less sensitive to the distance metric than nonlinear dimensionality reduction or geometric embedding methods. It provides us a systematic tool to explore the low density intermediate states in complex biomolecular folding systems.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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