9odw | pdb_00009odw
MicroED structure of proteinase K with energy filtering
Structural highlights
FunctionPRTK_PARAQ Hydrolyzes keratin at aromatic and hydrophobic residues. Publication Abstract from PubMedInelastic 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. Recovering high-resolution information using energy filtering in MicroED.,Clabbers MTB, Gonen T Struct Dyn. 2025 May 13;12(3):034702. doi: 10.1063/4.0000755. eCollection 2025 , May. PMID:40370641[1] From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine. References
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