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Updated: Jul 3, 2025
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Author Spotlight: Exploring Cellular Processes by Modeling Ligands in Cryo-EM Maps
Published on: July 19, 2024
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Outcomes of the EMDataResource Cryo-EM Ligand Modeling Challenge
Catherine L Lawson1, Andriy Kryshtafovych2, Grigore D Pintilie3
1Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.
Research Square
|February 12, 2024
Summary
The EMDataResource Ligand Model Challenge found that assessing ligand models in near-atomic resolution cryo-EM maps requires multiple scores. Best practices are recommended for evaluating these macromolecule+ligand structures.
Area of Science:
- Structural Biology
- Biochemistry
- Biophysics
Background:
- Cryo-electron microscopy (cryo-EM) is advancing to near-atomic resolution.
- Accurate modeling of ligands bound to macromolecules is crucial for understanding biological function.
- Assessing the quality of these ligand models presents a challenge.
Conclusions:
- Current ligand modeling in near-atomic resolution cryo-EM is variable.
- A multi-faceted approach combining various scoring metrics is essential for robust quality assessment.
- Recommendations for best practices in cryo-EM structure validation of liganded macromolecules are provided.
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