9ODW image
Entry Detail
PDB ID:
9ODW
EMDB ID:
Keywords:
Title:
MicroED structure of proteinase K with energy filtering
Biological Source:
Source Organism:
Host Organism:
PDB Version:
Deposition Date:
2025-04-28
Release Date:
2025-05-28
Method Details:
Experimental Method:
Resolution:
1.30 Å
R-Value Free:
0.22
R-Value Work:
0.18
R-Value Observed:
0.19
Space Group:
P 43 21 2
Macromolecular Entities
Polymer Type:polypeptide(L)
Description:Proteinase K
Chain IDs:A
Chain Length:279
Number of Molecules:1
Biological Source:Parengyodontium album
Primary Citation
Recovering high-resolution information using energy filtering in MicroED.
Struct Dyn. 12 034702 034702 (2025)
PMID: 40370641 DOI: 10.1063/4.0000755

Abstact

Inelastic scattering poses a significant challenge in electron crystallography by elevating background noise and broadening Bragg peaks, thereby reducing the overall signal-to-noise ratio. This is particularly detrimental to data quality in structural biology, as the diffraction signal is relatively weak. These effects are aggravated even further by the decay of the diffracted intensities as a result of accumulated radiation damage, and rapidly fading high-resolution information can disappear beneath the noise. Loss of high-resolution reflections can partly be mitigated using energy filtering, which removes inelastically scattered electrons and improves data quality and resolution. Here, we systematically compared unfiltered and energy-filtered microcrystal electron diffraction data from proteinase K crystals, first collecting an unfiltered dataset followed directly by a second sweep using the same settings but with the energy filter inserted. Our results show that energy filtering consistently reduces noise, sharpens Bragg peaks, and extends high-resolution information, even though the absorbed dose was doubled for the second pass. Importantly, our results demonstrate that high-resolution information can be recovered by inserting the energy filter slit. Energy-filtered datasets showed improved intensity statistics and better internal consistency, highlighting the effectiveness of energy filtering for improving data quality. These findings underscore its potential to overcome limitations in macromolecular electron crystallography, enabling higher-resolution structures with greater reliability.

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