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X-ray Crystallography

X-ray Crystallography

The size of the unit cell and the arrangement of atoms in a crystal may be determined from measurements of the diffraction of X-rays by the crystal, termed X-ray crystallography.
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$Microcrystallography of Protein Crystals and In Cellulo Diffraction$

Microcrystallography of Protein Crystals and In Cellulo Diffraction

Published on: July 21, 2017

A reference-based multi-lattice indexing method integrating prior information correction and iterative refinement in

Qiang Zhou¹, Zeng Qiang Gao¹, Zheng Dong¹

¹Beijing Synchrotron Radiation Facility, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, People's Republic of China.

Acta Crystallographica. Section A, Foundations and Advances

|July 1, 2021

Summary

A novel multi-lattice indexing method accurately identifies multiple crystal lattices in macromolecular crystallography. This new approach ensures data quality comparable to single-crystal methods, aiding in solving complex twinning problems.

Keywords:

MCDPS data reduction indexing algorithm multi-crystal data processing suite multi-crystal diffraction protein crystallography

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Area of Science:

Crystallography
Structural Biology
Data Processing

Background:

Macromolecular crystallography often encounters challenges with multiple crystal lattices within a single sample.
Accurate indexing of multiple lattices is crucial for successful data collection and structure determination.

Purpose of the Study:

To introduce a new multi-lattice indexing method for macromolecular crystallography.
To demonstrate the method's effectiveness in identifying and processing data from multiple crystal lattices.
To explore its application in addressing macroscopic twinning problems.

Main Methods:

Developed a multi-crystal data processing suite (MCDPS) utilizing whole-pattern matching with cell dimensions and space-group symmetry.
Implemented local correction for prior information and iterative refinement of experimental parameters.
Analyzed data reduction and structure determination using processed multi-lattice datasets.

Main Results:

The MCDPS method accurately identifies multiple crystal lattices, as shown by numerical and experimental validation.
Processed multi-lattice datasets yield crystallographic metrics comparable to those from single-crystal data.
Exclusion of overlapping reflections before scaling is essential for accurate data reduction.

Conclusions:

The presented multi-lattice indexing method is effective for macromolecular crystallography.
The MCDPS approach offers a viable solution for handling samples with multiple crystal lattices and macroscopic twinning.
Careful data processing, including reflection exclusion, is key to achieving high-quality results.