Loading
PDBj
MenuPDBj@FacebookPDBj@X(formerly Twitter)PDBj@BlueSkyPDBj@YouTubewwPDB FoundationwwPDBDonate
RCSB PDBPDBeBMRBAdv. SearchSearch help

9DHO

Structure of proteinase K from energy-filtered MicroED data

Summary for 9DHO
Entry DOI10.2210/pdb9dho/pdb
EMDB information46871
DescriptorProteinase K, CALCIUM ION, NITRATE ION, ... (4 entities in total)
Functional Keywordsserine protease, hydrolase
Biological sourceParengyodontium album
Total number of polymer chains1
Total formula weight29100.95
Authors
Clabbers, M.T.B.,Hattne, J.,Martynoqycz, M.W.,Gonen, T. (deposition date: 2024-09-04, release date: 2025-03-19)
Primary citationClabbers, M.T.B.,Hattne, J.,Martynowycz, M.W.,Gonen, T.
Energy filtering enables macromolecular MicroED data at sub-atomic resolution.
Biorxiv, 2024
Cited by
PubMed Abstract: High resolution information is important for accurate structure modelling. However, this level of detail is typically difficult to attain in macromolecular crystallography because the diffracted intensities rapidly fade with increasing resolution. The problem cannot be circumvented by increasing the fluence as this leads to detrimental radiation damage. Previously, we demonstrated that high quality MicroED data can be obtained at low flux conditions using electron counting with direct electron detectors. The improved sensitivity and accuracy of these detectors essentially eliminate the read-out noise, such that the measurement of faint high-resolution reflections is limited by other sources of noise. Inelastic scattering is a major contributor of such noise, increasing background counts and broadening diffraction spots. Here, we demonstrate that a substantial improvement in signal-to-noise ratio can be achieved using an energy filter to largely remove the inelastically scattered electrons. This strategy resulted in sub-atomic resolution MicroED data from proteinase K crystals, enabling accurate structure modelling and the visualization of detailed features. Interestingly, filtering out the noise revealed diffuse scattering phenomena that can hold additional structural information. Our findings suggest that combining energy filtering and electron counting can provide more accurate measurements at higher resolution, providing better insights into protein function and facilitating more precise model refinement.
PubMed: 39257752
DOI: 10.1101/2024.08.29.610380
PDB entries with the same primary citation
Experimental method
ELECTRON CRYSTALLOGRAPHY (1.09 Å)
Structure validation

237423

PDB entries from 2025-06-11

PDB statisticsPDBj update infoContact PDBjnumon