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Updated: Aug 3, 2026

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Atomic Scale Structural Studies of Macromolecular Assemblies by Solid-state Nuclear Magnetic Resonance Spectroscopy
Published on: September 17, 2017
Generation, representation and flow of phase information in structure determination: recent developments in and
G Bricogne1, C Vonrhein, C Flensburg
1Global Phasing Ltd, Sheraton House, Castle Park, Cambridge CB3 0AX, England. gb10@globalphasing.com
Acta Crystallographica. Section D, Biological Crystallography
|October 24, 2003
Summary
This study reviews macromolecular phase determination methods, proposing a new approach for enhanced phase information encoding and exploitation. Further statistical analysis improvements are needed for data processing and experimental design.
Area of Science:
- Crystallography
- Structural Biology
- Biophysics
Background:
- Macromolecular phase determination is crucial for determining 3D structures of biological molecules.
- Isomorphous replacement and anomalous scattering are established methods for phase determination.
- Existing data treatment methods have evolved significantly over 50 years.
Purpose of the Study:
- To review the historical evolution of data treatment in isomorphous replacement and anomalous scattering.
- To propose and demonstrate a novel treatment for phase information encoding and exploitation.
- To identify areas for future improvement in statistical analysis of phase information.
Main Methods:
- Review of historical formulations in macromolecular phase determination.
- Development of a new treatment for encoding phase information in the complex plane.
- Demonstration of the proposed treatment's efficacy.
Main Results:
- Identification of successive advancements in data treatment methodologies.
- Introduction of an improved method for encoding and exploiting phase information.
- Highlighting limitations in current statistical analysis.
Conclusions:
- Significant evolution in macromolecular phase determination techniques has occurred.
- The proposed new treatment offers improved phase information handling.
- Further research into statistical analysis is essential for advancing data processing and experimental design in crystallography.

