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均方根偏差和对称性。

RMSD and Symmetry.

机构信息

Department of Applied Mathematics and Statistics and Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794.

Department of Mathematics and Statistics, University of New Mexico, Albuquerque, New Mexico 87131.

出版信息

J Comput Chem. 2019 Jun 5;40(15):1496-1508. doi: 10.1002/jcc.25802. Epub 2019 Mar 3.

Abstract

A common approach for comparing the structures of biomolecules or solid bodies is to translate and rotate one structure with respect to the other to minimize the pointwise root-mean-square deviation (RMSD). We present a new, robust numerical algorithm that computes the RMSD between two molecules or all the mutual RMSDs of a list of molecules and, if desired, the corresponding rotation matrix in a minimal number of operations as compared to previous algorithms. The RMSD gradient can also be computed. We address the problem of symmetry, both in alignment (possible alternative alignments due to indistinguishable atoms) as well as geometry. In the latter case, it is possible to have degenerate superposition. A necessary condition is optimal superimposability to one's mirror image. Double (respectively, triple) degeneracy results in a one- (respectively, two)-parameter family of rotations leaving the superposition invariant. The software, frmsd, is freely available at http://www.ams.stonybrook.edu/~coutsias/codes/frmsd.tgz. © 2019 Wiley Periodicals, Inc.

摘要

比较生物分子或固体结构的一种常见方法是平移和旋转一个结构相对于另一个结构,以最小化逐点均方根偏差(RMSD)。我们提出了一种新的、强大的数值算法,用于计算两个分子之间的 RMSD 或列表中所有分子之间的 RMSD,如果需要,还可以在最小数量的操作中计算相应的旋转矩阵,与以前的算法相比。也可以计算 RMSD 梯度。我们解决了对称问题,包括对齐(由于不可区分的原子而可能存在替代对齐)和几何形状。在后一种情况下,可能存在简并叠加。一个必要条件是对镜像的最佳叠加可操作性。双重(分别是三重)简并导致旋转的一(分别是两)参数族保持叠加不变。该软件 frmsd 可在 http://www.ams.stonybrook.edu/~coutsias/codes/frmsd.tgz 免费获得。© 2019 威利父子公司

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