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Phase Behavior of Charged Vesicles Under Symmetric and Asymmetric Solution Conditions Monitored with Fluorescence Microscopy
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Macromolecular structure solution by charge flipping.

Christian Dumas1, Arie van der Lee

  • 1Centre de Biochimie Structurale, CNRS, UMR5048, INSERM U554, Université Montpellier-1, F-34090 Montpellier, France. christian.dumas@cbs.cnrs.fr

Acta Crystallographica. Section D, Biological Crystallography
|July 23, 2008
PubMed
Summary
This summary is machine-generated.

The charge-flipping phasing algorithm can now solve large macromolecular structures and complex substructures. This versatile method advances crystallographic phase recovery across various diffraction fields.

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Area of Science:

  • Crystallography
  • Structural Biology
  • Computational Chemistry

Background:

  • The charge-flipping algorithm is a novel computational method for phase recovery in diffraction.
  • It differs from traditional methods by not requiring prior knowledge of space-group symmetry or chemical composition.
  • Its application has been growing in small-molecule crystallography and powder diffraction.

Purpose of the Study:

  • To evaluate the efficacy of the charge-flipping algorithm for solving large macromolecular structures.
  • To assess its utility in experimental phasing of complex substructures at various resolutions.
  • To demonstrate its versatility as a general phase-recovery algorithm in kinematical diffraction.

Main Methods:

  • Application of the charge-flipping algorithm to normalized intensity data from macromolecular crystallography at atomic resolution (~1.0 Å).
  • Utilizing the algorithm for experimental phasing of heavy-atom or anomalous scattering substructures at medium to low resolution (~2-6 Å).

Main Results:

  • The charge-flipping algorithm successfully solved large macromolecular structures containing up to approximately 6000 atoms in the asymmetric unit.
  • The algorithm proved efficient for phasing complex substructures that are challenging for conventional methods like Patterson techniques or direct methods.
  • Demonstrated robust performance across different scales and complexities of crystallographic data.

Conclusions:

  • The charge-flipping algorithm is effective for solving large macromolecular structures at atomic resolution.
  • It serves as an efficient tool for experimental phasing of difficult substructures at lower resolutions.
  • Charge flipping is a well-performing and general phase-recovery algorithm applicable to all fields of kinematical diffraction.