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Electron Microscope Tomography and Single-particle Reconstruction01:07

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Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
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Updated: May 18, 2026

Single Particle Cryo-Electron Microscopy: From Sample to Structure
11:52

Single Particle Cryo-Electron Microscopy: From Sample to Structure

Published on: May 29, 2021

Using enhanced sampling and structural restraints to refine atomic structures into low-resolution electron microscopy

Harish Vashisth1, Georgios Skiniotis, Charles L Brooks

  • 1Department of Chemistry and Biophysics Program, University of Michigan, 930 North University Avenue, Chem 2006, Ann Arbor, MI 48109, USA. harishv@umich.edu

Structure (London, England : 1993)
|September 11, 2012
PubMed
Summary
This summary is machine-generated.

Molecular dynamics flexible fitting (MDFF) can model protein conformational changes from low-resolution electron microscopy maps by adjusting restraints and steering forces. Combining MDFF with temperature-accelerated molecular dynamics (TAMD) further enhances accuracy and simulation speed.

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A Robust Single-Particle Cryo-Electron Microscopy (cryo-EM) Processing Workflow with cryoSPARC, RELION, and Scipion
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Last Updated: May 18, 2026

Single Particle Cryo-Electron Microscopy: From Sample to Structure
11:52

Single Particle Cryo-Electron Microscopy: From Sample to Structure

Published on: May 29, 2021

A Robust Single-Particle Cryo-Electron Microscopy (cryo-EM) Processing Workflow with cryoSPARC, RELION, and Scipion
13:43

A Robust Single-Particle Cryo-Electron Microscopy (cryo-EM) Processing Workflow with cryoSPARC, RELION, and Scipion

Published on: January 31, 2022

Area of Science:

  • Structural Biology
  • Computational Biology
  • Biophysics

Background:

  • Low-resolution maps from electron microscopy (EM) are crucial for understanding protein structures.
  • Interpreting these maps often requires computational methods like flexible fitting algorithms.
  • Molecular dynamics flexible fitting (MDFF) is a common technique for fitting atomic models into EM density maps.

Purpose of the Study:

  • To systematically analyze the quality of protein models generated by MDFF.
  • To investigate the impact of map resolution, structural restraints, and steering forces on MDFF accuracy.
  • To explore methods for extending MDFF capabilities, particularly for lower-resolution maps and conformational sampling.

Main Methods:

  • Systematic analysis of MDFF performance by varying key parameters: map resolution, structural restraint strength, and steering forces.
  • Utilizing molecular dynamics (MD) simulations for flexible fitting.
  • Integration of MDFF with temperature-accelerated molecular dynamics (TAMD) for enhanced conformational sampling.

Main Results:

  • MDFF can accurately model conformational changes in lower-resolution EM maps when using larger structural restraints and reduced steering forces to prevent overfitting.
  • Combining MDFF with TAMD improves the generation of starting configurations for fitting.
  • TAMD-assisted MDFF (TAMDFF) accelerates conformational search in atomistic simulations.

Conclusions:

  • MDFF is a versatile tool for structural biology, adaptable to lower-resolution EM data with appropriate parameterization.
  • The integration of TAMD with MDFF offers a powerful approach to enhance both the accuracy and efficiency of protein structure modeling and conformational analysis.