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首页> 外文期刊>BMC Bioinformatics >IDSS: deformation invariant signatures for molecular shape comparison
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IDSS: deformation invariant signatures for molecular shape comparison

机译:IDSS:用于分子形状比较的形变不变特征

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Background Many molecules of interest are flexible and undergo significant shape deformation as part of their function, but most existing methods of molecular shape comparison (MSC) treat them as rigid bodies, which may lead to incorrect measure of the shape similarity of flexible molecules. Results To address the issue we introduce a new shape descriptor, called Inner Distance Shape Signature (IDSS), for describing the 3D shapes of flexible molecules. The inner distance is defined as the length of the shortest path between landmark points within the molecular shape, and it reflects well the molecular structure and deformation without explicit decomposition. Our IDSS is stored as a histogram which is a probability distribution of inner distances between all sample point pairs on the molecular surface. We show that IDSS is insensitive to shape deformation of flexible molecules and more effective at capturing molecular structures than traditional shape descriptors. Our approach reduces the 3D shape comparison problem of flexible molecules to the comparison of IDSS histograms. Conclusion The proposed algorithm is robust and does not require any prior knowledge of the flexible regions. We demonstrate the effectiveness of IDSS within a molecular search engine application for a benchmark containing abundant conformational changes of molecules. Such comparisons in several thousands per second can be carried out. The presented IDSS method can be considered as an alternative and complementary tool for the existing methods for rigid MSC. The binary executable program for Windows platform and database are available from https://engineering.purdue.edu/PRECISE/IDSS .
机译:背景技术许多感兴趣的分子都是柔性的,并且作为其功能的一部分会经历明显的形状变形,但是大多数现有的分子形状比较(MSC)方法将它们视为刚体,这可能导致对柔性分子形状相似性的错误测量。结果为了解决这个问题,我们引入了一个新的形状描述符,称为内部距离形状签名(IDSS),用于描述柔性分子的3D形状。内部距离定义为分子形状内界标点之间的最短路径的长度,它很好地反映了分子的结构和变形而没有明显的分解。我们的IDSS以直方图的形式存储,它是分子表面上所有样本点对之间内部距离的概率分布。我们显示,IDSS对柔性分子的形状变形不敏感,并且比传统的形状描述符更有效地捕获分子结构。我们的方法将柔性分子的3D形状比较问题简化为IDSS直方图的比较。结论所提出的算法是鲁棒的,不需要任何有关柔性区域的先验知识。我们展示了IDSS在分子搜索引擎应用程序中对包含大量分子构象变化的基准的有效性。每秒可以进行几千次这样的比较。所提出的IDSS方法可以被视为现有刚性MSC方法的替代和补充工具。可从https://engineering.purdue.edu/PRECISE/IDSS获得Windows平台和数据库的二进制可执行程序。

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