SIMPLE3.0

SIMPLE3.0 detects point-group symmetry in three-dimensional (3D) charge density maps derived from electron microscopy (EM) and related techniques, providing statistical evaluation of symmetry and pseudo-symmetry to support single-particle 3D reconstruction.


Key Features:

  • Ab Initio Algorithm: Employs an ab initio algorithm that operates directly on the density map, eliminating the need for atomic coordinates.
  • Automated Symmetry Detection: Determines point-group symmetry to enable fully automated single-particle 3D reconstruction in straightforward cases without requiring an arbitrary symmetry model.
  • Pseudo-Symmetry Analysis: Provides statistical measures that quantify how well the 3D density aligns with tested point-groups, aiding discrimination of genuine symmetry from artifacts.
  • Validation and Applicability: Validated on a range of publicly available single-particle cryo-EM datasets, demonstrating applicability across different biomolecular structures.

Scientific Applications:

  • Structural Biology: Determining point-group symmetry in EM-derived charge density maps to inform molecular function and interactions.
  • 3D Reconstruction Improvement: Enhancing the quality of single-particle 3D reconstructions from cryo-EM by providing statistical symmetry assignments that lead to more precise molecular models.

Methodology:

An ab initio algorithm operates directly on density maps and applies statistical techniques to evaluate alignment to point-groups and quantify pseudo-symmetry.

Topics

Details

License:
GPL-3.0
Programming Languages:
C++, Fortran, C
Added:
1/14/2020
Last Updated:
1/16/2021

Operations

Publications

Reboul CF, Kiesewetter S, Elmlund D, Elmlund H. Point-group symmetry detection in three-dimensional charge density of biomolecules. Bioinformatics. 2019;36(7):2237-2243. doi:10.1093/bioinformatics/btz904. PMID:31790146.

PMID: 31790146
Funding: - Australian Research Council: DE170100701, DP170101850 - ARC: APP1125909 - Early Career Fellowship: APP1122769

Links