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Updated: Jul 26, 2025

$Microcrystallography of Protein Crystals and In Cellulo Diffraction$

Microcrystallography of Protein Crystals and In Cellulo Diffraction

Published on: July 21, 2017

Direct phasing algorithm for protein crystals with high solvent content using low-resolution diffraction data.

Yu Meng Jiang¹, Han Miao¹, Xin Yu Pan¹

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

Acta Crystallographica. Section D, Structural Biology

|June 14, 2023

Summary

This summary is machine-generated.

This study introduces a new method for protein crystallography phase retrieval, removing the need for prior structural knowledge. This advance in phasing algorithms offers a more accessible way to solve the protein phase problem.

Keywords:

iterative projection algorithms low-resolution envelopes phase determination phasing

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Published on: April 24, 2018

Area of Science:

Crystallography
Structural Biology
Biophysics

Background:

Iterative projection algorithms are key for solving the protein phase problem in crystallography.
Previous methods required prior knowledge (e.g., low-resolution envelopes), limiting their application.

Purpose of the Study:

To develop a novel phase-retrieval workflow that bypasses the need for reference density distributions.
To enable direct phase retrieval using only low-resolution diffraction data.

Main Methods:

A new workflow utilizes low-resolution diffraction data for phase retrieval.
Initial phase assignments are randomly generated and refined iteratively.
Density modification is applied after each phase retrieval run.
Information entropy is introduced as a metric to evaluate phase retrieval success.

Main Results:

The novel workflow successfully retrieves phases without prior structural information.
Validation on ten high-solvent-content protein structures demonstrated robustness.
Information entropy proved effective for assessing phase retrieval outcomes.

Conclusions:

This method overcomes limitations of previous phase retrieval techniques.
It offers a more direct and widely applicable approach to solving the protein phase problem.
The use of low-resolution data and information entropy enhances phasing capabilities.