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Updated: Jan 16, 2026

A Guide to Production, Crystallization, and Structure Determination of Human IKK1/α
Published on: November 2, 2018
A Critical Look at the Crystal Structures of cAMP-Dependent Protein Kinases
Alexander Wlodawer1, Pawel Rubach2,3, Zbigniew Dauter4
1Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
This study assessed protein kinase A (PKA) crystal structures in the Protein Data Bank. While most structures were adequate, automated refinement offered limited improvement, especially for newer PKA models.
Area of Science:
- Structural Biology
- Biochemistry
Background:
- The Protein Data Bank (PDB) contains numerous structural deposits for cAMP-dependent protein kinases (PKA).
- Assessing the quality of these structures is crucial for understanding PKA function and for guiding future research.
Purpose of the Study:
- To evaluate the quality of PKA catalytic domain crystal structures in the PDB.
- To assess the effectiveness of the PDB-REDO pipeline in improving structural models.
Main Methods:
- Analysis of 289 PDB crystal structure deposits with atomic coordinates and structure factors.
- Comparison of structure quality indicators before and after re-refinement using PDB-REDO.
- Detailed examination of small-molecule ligand quality within the structures.
Main Results:
- Most PDB deposits for PKA catalytic domains were of acceptable quality, with newer structures generally superior to older ones.
- The PDB-REDO re-refinement procedure showed significant improvement primarily in older structures; its overall impact was limited.
- Small-molecule ligands within the evaluated structures generally exhibited good fit to the electron density.
Conclusions:
- While minor issues were noted, PKA crystal structures in the PDB are largely of good quality.
- Automated re-refinement offers benefits mainly for older structural models, with limited impact on recent, high-quality structures.
- This quality assessment methodology can be extended to other protein families to identify high-resolution structural data.
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