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RMSD and Symmetry.
Coutsias, Evangelos A; Wester, Michael J.
Afiliação
  • Coutsias EA; Department of Applied Mathematics and Statistics and Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794.
  • Wester MJ; Department of Mathematics and Statistics, University of New Mexico, Albuquerque, New Mexico 87131.
J Comput Chem ; 40(15): 1496-1508, 2019 06 05.
Article em En | MEDLINE | ID: mdl-30828834
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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article