Liu Yu-Shen, Fang Yi, Ramani Karthik
School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA.
BMC Bioinformatics. 2009 May 22;10:157. doi: 10.1186/1471-2105-10-157.
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.
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.
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.
许多感兴趣的分子具有柔性,并且在其功能的一部分中会经历显著的形状变形,但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测量不正确。
为了解决这个问题,我们引入了一种新的形状描述符,称为内距离形状签名(IDSS),用于描述柔性分子的三维形状。内距离定义为分子形状内地标点之间最短路径的长度,它能很好地反映分子结构和变形,而无需显式分解。我们的IDSS存储为直方图,它是分子表面上所有样本点对之间内距离的概率分布。我们表明,IDSS对柔性分子的形状变形不敏感,并且在捕获分子结构方面比传统形状描述符更有效。我们的方法将柔性分子的三维形状比较问题简化为IDSS直方图的比较。
所提出的算法具有鲁棒性,并且不需要关于柔性区域的任何先验知识。我们在一个包含大量分子构象变化的基准测试的分子搜索引擎应用中证明了IDSS的有效性。每秒可以进行数千次这样的比较。所提出的IDSS方法可以被视为现有刚体MSC方法的一种替代和补充工具。Windows平台的二进制可执行程序和数据库可从https://engineering.purdue.edu/PRECISE/IDSS获得。