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首页> 外文期刊>Journal of Structural Biology >Targeted conformational search with map-restrained self-guided Langevin dynamics: Application to flexible fitting into electron microscopic density maps
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Targeted conformational search with map-restrained self-guided Langevin dynamics: Application to flexible fitting into electron microscopic density maps

机译:具有图谱约束的自导式Langevin动力学的目标构象搜索:可灵活应用于电子显微镜密度图

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We present a map-restrained self-guided Langevin dynamics (MapSGLD) simulation method for efficient targeted conformational search. The targeted conformational search represents simulations under restraints defined by experimental observations and/or by user specified structural requirements. Through map-restraints, this method provides an efficient way to maintain substructures and to set structure targets during conformational searching. With an enhanced conformational searching ability of self-guided Langevin dynamics, this approach is suitable for simulating large-scale conformational changes, such as the formation of macromolecular assemblies and transitions between different conformational states. Using several examples, we illustrate the application of this method in flexible fitting of atomic structures into density maps derived from cryo-electron microscopy. (C) 2013 The Authors. Published by Elsevier Inc. All rights reserved.
机译:我们为有效的目标构象搜索提出了一种地图约束的自导Langevin动力学(MapSGLD)仿真方法。有针对性的构象搜索表示在实验观察和/或用户指定的结构要求所定义的约束条件下的模拟。通过地图约束,此方法提供了一种在构象搜索过程中维护子结构和设置结构目标的有效方法。借助自指导的Langevin动力学增强的构象搜索能力,该方法适用于模拟大规模构象变化,例如大分子组装体的形成以及不同构象状态之间的过渡。使用几个示例,我们说明了该方法在将原子结构灵活地拟合到从低温电子显微镜得出的密度图中的应用。 (C)2013作者。由Elsevier Inc.出版。保留所有权利。

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