9n0g

Structure of proteinase K from energy-filtered MicroED data using a 10 eV slit width

spinqualitylabelsall models 9n0g, resolution 1.20Å Show:Asymmetric Unit Biological Assembly Drag the structure with the mouse to rotate   Export Animated Image   Print3D Structural highlights 9n0g is a 1 chain structure with sequence from Parengyodontium album. Full crystallographic information is available from OCA. For a guided tour on the structure components use FirstGlance. Method: Electron crystallography, Resolution 1.2Å Ligands: CA, NO3 Resources: FirstGlance, OCA, PDBe, RCSB, PDBsum, ProSAT Function PRTK_PARAQ Hydrolyzes keratin at aromatic and hydrophobic residues. Publication Abstract from PubMed A favorable signal-to-noise ratio is essential for obtaining high-quality diffraction data in macromolecular electron crystallography. Inelastic scattering contributes significantly to the noise, reducing contrast between diffraction peaks and background, which complicates peak detection and compromises the accuracy of intensity integration. Energy filtering mitigates these challenges and enhances diffraction data quality by removing the inelastically scattered electrons, leading to reduced background noise and sharper Bragg peaks. Previously, we reported a substantial improvement in MicroED data quality and resolution with energy filtering. Here, we systematically evaluate the impact of different energy filter slit widths for optimal MicroED data collection. Data from proteinase K lamellae were collected using the 5, 10, and 20 eV energy filter slit widths. Our results show that the narrowest slit widths result in a stronger diffraction signal with lower background noise, improving the precision of the intensity measurements which resulted in better structural models. Our findings provide insights into the optimization of energy filter slit settings that, when paired with direct electron detection, enhance MicroED data collection strategies in MicroED by improving the signal-to-noise ratio, supporting higher quality data and ultimately enabling more precise structure determination. Characterization of energy filtering slit widths for MicroED data collection.,Clabbers MTB, Hattne J, Martynowycz MW, Gonen T bioRxiv [Preprint]. 2025 Feb 27:2025.02.24.639939. doi: , 10.1101/2025.02.24.639939. PMID:40060527 From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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