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Automated Illustration of Molecular Flexibility

机译:分子灵活性的自动化插图

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In this paper, we present an approach to creating illustrations of molecular flexibility using normal mode analysis (NMA). The output of NMA is a collection of points corresponding to the locations of atoms and associated motion vectors, where a vector for each point is known. Our approach abstracts the complex object and its motion by grouping the points, models the motion of each group as an affine velocity, and depicts the motion of each group by automatically choosing glyphs such as arrows. Affine exponentials allow the extrapolation of nonlinear effects such as near rotations and spirals from the linear velocities. Our approach automatically groups points by finding sets of neighboring points whose motions fit the motion model. The geometry and motion models for each group are used to determine glyphs that depict the motion, with various aspects of the motion mapped to each glyph. We evaluated the utility of our system in real work done by structural biologists both by utilizing it in our own structural biology work and quantitatively measuring its usefulness on a set of known protein conformation changes. Additionally, in order to allow ourselves and our collaborators to effectively use our techniques we integrated our system with commonly used tools for molecular visualization.
机译:在本文中,我们提出一种使用正态分析(NMA)创建分子柔性插图的方法。 NMA的输出是与原子和相关运动矢量的位置相对应的点的集合,其中每个点的矢量都是已知的。我们的方法通过对点进行分组来抽象复杂对象及其运动,将每个组的运动建模为仿射速度,并通过自动选择字形(例如箭头)来描绘每个组的运动。仿射指数允许从线性速度外推非线性效应,例如接近旋转和螺旋形。我们的方法通过查找运动适合运动模型的相邻点集来自动对点进行分组。每组的几何模型和运动模型用于确定描述运动的字形,并将运动的各个方面映射到每个字形。我们在结构生物学家完成的实际工作中评估了我们系统的实用性,既在我们自己的结构生物学工作中利用了它,又在一组已知的蛋白质构象变化中定量测量了其有效性。此外,为了让我们自己和合作者有效地使用我们的技术,我们将系统与分子可视化常用工具集成在一起。

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