Abstract

Advances in high-resolution cryo-electron microscopy (cryo-EM) require the development of validation metrics to independently assess map quality and model geometry. We report EMRinger, a tool that assesses the precise fitting of an atomic model into the map during refinement and shows how radiation damage alters scattering from negatively charged amino acids. EMRinger (https://github.com/fraser-lab/EMRinger) will be useful for monitoring progress in resolving and modeling high-resolution features in cryo-EM.

Keywords

Cryo-electron microscopyResolution (logic)MicroscopyElectron microscopeComputer sciencePhysicsBiophysicsArtificial intelligenceOpticsBiology

MeSH Terms

Cryoelectron MicroscopyCrystallographyX-RayDatabasesProteinImage ProcessingComputer-AssistedModelsMolecularProtein ConformationProteinsReproducibility of ResultsSoftwareTRPV Cation Channels

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Publication Info

Year
2015
Type
article
Volume
12
Issue
10
Pages
943-946
Citations
991
Access
Closed

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Cite This

Benjamin A. Barad, Nathaniel Echols, Ray Yu‐Ruei Wang et al. (2015). EMRinger: side chain–directed model and map validation for 3D cryo-electron microscopy. Nature Methods , 12 (10) , 943-946. https://doi.org/10.1038/nmeth.3541

Identifiers

DOI
10.1038/nmeth.3541
PMID
26280328
PMCID
PMC4589481

Data Quality

Data completeness: 86%