Evaluating Crystallographic Model Quality
Author Information
Author(s): Urzhumtseva Ludmila, Afonine Pavel V., Adams Paul D., Urzhumtsev Alexandre
Primary Institution: Université Louis Pasteur, Institut de Biologie Moléculaire et Cellulaire
Hypothesis
Can a graphical representation improve the evaluation of crystallographic model quality?
Conclusion
The proposed graphical representation allows for a quick assessment of model quality and comparison with control models.
Supporting Evidence
- The graphical representation uses a polygon to show model characteristics.
- Different colors indicate the frequency of observed values.
- The method allows for quick comparisons with previously solved structures.
Takeaway
This study shows a new way to look at models of molecules that helps scientists see how good they are at a glance.
Methodology
The study proposes a graphical representation of model quality using polygons based on various crystallographic parameters.
Limitations
The method may not account for all types of errors in models and relies on previously solved structures for comparison.
Digital Object Identifier (DOI)
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