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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.
Diffraction
Diffraction is the change in the direction of travel experienced by an electromagnetic wave when it encounters a physical barrier whose dimensions are comparable to those of the wavelength of the light. X-rays are electromagnetic radiation with wavelengths about as long as the distance between neighboring...

$X-ray Diffraction of Biological Samples$ 01:10

X-ray Diffraction of Biological Samples

X-ray diffraction or XRD is an analytical tool that utilizes X-rays to study ordered structures such as crystalline organic and inorganic samples, polycrystalline materials, proteins, carbohydrates, and drugs.
According to Bragg's law, when X-rays strike the sample positioned on a stage, the rays are scattered by the electron clouds around the sample atoms. The X-ray diffraction or scattering is caused by constructive interference of the X-ray waves that reflect off the internal...

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Related Experiment Video

Updated: Jun 12, 2025

Sample Preparation and Transfer Protocol for In-Vacuum Long-Wavelength Crystallography on Beamline I23 at Diamond Light Source

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Utilizing anomalous signals for element identification in macromolecular crystallography.

Kamel El Omari¹, Ismay Forsyth¹, Ramona Duman¹

¹Diamond Light Source, Harwell Science and Innovation Campus, Didcot OX11 0DE, United Kingdom.

Acta Crystallographica. Section D, Structural Biology

|September 18, 2024

Summary

AlphaFold2 accurately predicts protein structures but misses metal ions. X-ray anomalous data collection complements AlphaFold2 models by identifying these crucial elements for protein function.

Keywords:

anomalous scattering crystallography element identification

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Last Updated: Jun 12, 2025

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Area of Science:

Structural Biology
Biophysics
Biochemistry

Background:

AlphaFold2 significantly advances protein structure prediction accuracy.
Experimental methods like X-ray crystallography and cryo-EM are resource-intensive.
AlphaFold2 models aid in molecular replacement and model building but lack experimental validation and details like bound ions.

Purpose of the Study:

To explore the advantages of X-ray anomalous data collection for protein structure determination.
To highlight the utility of anomalous data in identifying metal ions.
To demonstrate how anomalous data complements AlphaFold2 predictions.

Main Methods:

Calculation of anomalous difference Fourier maps.
Refinement of the imaginary component of the anomalous scattering factor (f'').
Integration of X-ray anomalous data with AlphaFold2 models.

Main Results:

X-ray anomalous data effectively identifies chemical elements, particularly metal ions.
Anomalous data provides crucial information often missing in AlphaFold2 models.
The combined approach enhances the understanding of protein structures and functions.

Conclusions:

X-ray anomalous data is a valuable complement to AlphaFold2 for experimental validation.
This approach is particularly significant for elucidating the roles of metal ions in protein structures and functions.
Integrating computational predictions with experimental data improves structural biology insights.