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Updated: Aug 15, 2026

Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses
Published on: June 7, 2018
MAD phasing: treatment of dispersive differences as isomorphous replacement information
1Life Sciences Division, Los Alamos National Laboratory, NM 87545, USA.
This study introduces a new method for analyzing multi-wavelength anomalous-diffraction (MAD) data, analogous to isomorphous replacement. This approach allows for precise refinement of anomalous scatterers and combines phase information effectively for protein crystallography.
Area of Science:
- Crystallography
- Structural Biology
- Biophysics
Background:
- Multi-wavelength anomalous-diffraction (MAD) is a powerful technique for determining the phase information in X-ray crystallography.
- Traditional analysis of MAD data can be complex, requiring specialized approaches for parameter refinement and phase combination.
Purpose of the Study:
- To develop and validate a novel framework for analyzing multi-wavelength anomalous-diffraction (MAD) data.
- To demonstrate the efficacy of this new method for refining anomalous scatterer parameters and combining phase information.
Main Methods:
- An adaptation of the isomorphous replacement framework was applied to MAD data analysis.
- An approximation was introduced, assuming anomalous scatterer contributions are small relative to other atoms.
- A model calculation was performed on a protein crystal with selenium as anomalous scatterers.
Main Results:
- The proposed method allows for the refinement of anomalous scatterer parameters using a significant portion of the available data.
- Phase information can be readily combined within this framework.
- Model calculations confirmed that the approximation used does not substantially impact the accuracy of phase calculations for MAD data.
Conclusions:
- The developed method provides an efficient and accurate approach for analyzing multi-wavelength anomalous-diffraction data.
- This technique is demonstrated to be effective for protein crystallography, as shown by its application to gene V protein MAD data.
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