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Related Concept Videos

Cryo-electron Microscopy01:28

Cryo-electron Microscopy

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Conventional electron microscopy (EM) involves dehydration, fixation, and staining of biological samples, which distorts the native state of biological molecules and results in several artifacts. Also, the high-energy electron beam damages the sample and makes it difficult to obtain high-resolution images. These issues can be addressed using cryo-EM, which uses frozen samples and gentler electron beams. The technique was developed by Jacques Dubochet, Joachim Frank, and Richard Henderson, for...
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Updated: Oct 2, 2025

A Robust Single-Particle Cryo-Electron Microscopy cryo-EM Processing Workflow with cryoSPARC, RELION, and Scipion
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Interface refinement of low- to medium-resolution Cryo-EM complexes using HADDOCK2.4.

Tim Neijenhuis1, Siri C van Keulen1, Alexandre M J J Bonvin1

  • 1Computational Structural Biology Group, Bijvoet Center for Biomolecular Research, Science for Life, Faculty of Science - Chemistry, Utrecht University, Padualaan 8, 3584 CH, Utrecht, the Netherlands.

Structure (London, England : 1993)
|February 26, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a new computational method to fix atomic clashes in protein models derived from cryo-electron microscopy (cryo-EM) data. The approach significantly improves the accuracy of protein-protein interfaces (PPIs) in structural biology.

Keywords:
HADDOCKatomic clasheselectron density mapinterface qualityprotein-protein interfacesrefinement

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Area of Science:

  • Structural biology
  • Computational biology
  • Biophysics

Background:

  • Multimeric protein complexes are essential for cellular functions.
  • Cryo-electron microscopy (cryo-EM) provides structural insights into these complexes.
  • Low-resolution cryo-EM maps can lead to atomic clashes when fitting individual protein monomers, particularly at protein-protein interfaces (PPIs).

Purpose of the Study:

  • To develop and validate a computational refinement strategy to resolve atomic clashes at PPIs in cryo-EM structures.
  • To optimize intermolecular interactions within protein assemblies modeled from cryo-EM data.

Main Methods:

  • A refinement approach based on HADDOCK2.4 was employed.
  • Eight different refinement protocols were tested on a dataset of 14 cryo-EM complexes.
  • The best protocol involved semi-flexible simulated annealing with centroid restraints on monomers.

Main Results:

  • The optimized protocol reduced intermolecular atomic clashes by 98%.
  • The refinement did not significantly degrade the fit to the cryo-EM density map.
  • This method effectively addresses inaccuracies in protein-protein interfaces.

Conclusions:

  • A robust computational method for refining cryo-EM structures has been developed.
  • This approach enhances the accuracy of protein-protein interactions in structural models.
  • The method is valuable for improving the quality of atomic models from low- to medium-resolution cryo-EM data.