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Updated: Feb 25, 2026

Microcrystallography of Protein Crystals and In Cellulo Diffraction
Published on: July 21, 2017
New Tricks of the Trade for Crystal Structure Refinement
Jinjin Li1, Yuriy A Abramov2, Michael F Doherty3
1Key Laboratory for Thin Film and Microfabrication of Ministry of Education, Department of Micro/Nano-electronics, Shanghai Jiao Tong University, 800 Dong Chuan Road, Shanghai 200240, P. R. China.
This study introduces a simple method to assess crystal structure quality using lattice energy sensitivity. It provides a tool for researchers, especially non-experts, to evaluate and improve crystal structure data independently.
Area of Science:
- Solid-state chemistry
- Physical chemistry
- Crystallography
Background:
- Accurate crystal structures are crucial for crystal engineering, polymorph stability, and morphology.
- Crystallographic databases contain multiple entries of varying quality for the same compound, posing a selection challenge.
- Non-crystallographers often lack access to professional structure refinement software.
Purpose of the Study:
- To propose a simple method for assessing crystal structure file quality.
- To create a diagnostic tool for evaluating crystal structure reliability.
- To enable independent structure improvement for non-experts.
Main Methods:
- Studying the sensitivity of crystal lattice energy to structural parameter changes.
- Developing a lattice energy distribution-based approach.
- Creating a diagnostic tool for quality assessment and improvement.
Main Results:
- A method to test crystal structure file quality was proposed.
- The method allows for the identification and improvement of low-quality crystal structures.
- Non-experts can independently evaluate and optimize crystal data.
Conclusions:
- The proposed method offers a valuable tool for assessing and refining crystal structure data.
- It empowers researchers, particularly non-crystallographers, to work with reliable structural information.
- This approach benefits solid-state and physical chemistry research by improving data quality.
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