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Updated: May 13, 2026

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

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Enhanced sampling and overfitting analyses in structural refinement of nucleic acids into electron microscopy maps.

Harish Vashisth¹, Georgios Skiniotis, Charles L Brooks

¹Department of Chemistry and Biophysics Program, Department of Biological Chemistry, and Biophysics Program, University of Michigan , Ann Arbor, Michigan, USA.

The Journal of Physical Chemistry. B

|March 20, 2013

Summary

Molecular dynamics flexible fitting (MDFF) improves structural models of nucleic acids in electron microscopy maps. Combining MDFF with temperature-accelerated molecular dynamics (TAMD) enhances conformational fitting for ribonucleoprotein complexes.

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Single Particle Cryo-Electron Microscopy: From Sample to Structure

Single Particle Cryo-Electron Microscopy: From Sample to Structure

Published on: May 29, 2021

Area of Science:

Structural biology
Computational biophysics
Biochemistry

Background:

Electron microscopy (EM) generates low-resolution maps of macromolecular complexes.
Molecular dynamics flexible fitting (MDFF) is an atomistic simulation technique used to interpret these maps.
Previous work showed MDFF's sensitivity to map resolution and secondary structure restraints for proteins.

Purpose of the Study:

Systematically examine MDFF for nucleic acid structural models.
Investigate the impact of map resolution and restraint strength on MDFF quality.
Explore combining MDFF with temperature-accelerated molecular dynamics (TAMD) for enhanced fitting.

Main Methods:

MDFF simulations with varying map resolutions and structural restraint strengths.
Temperature-accelerated molecular dynamics (TAMD) for enhanced conformational sampling.
Application of TAMD-assisted MDFF (TAMDFF) to RNA/protein complexes.

Main Results:

MDFF model quality for nucleic acids is dependent on map resolution and restraint parameters.
TAMD enhances conformational sampling for nucleic acid refinement within EM maps.
TAMDFF successfully refined an RNA/protein complex structure.

Conclusions:

MDFF is sensitive to input parameters when modeling nucleic acids.
TAMDFF offers a viable strategy for improved conformational fitting of ribonucleoprotein complexes in EM maps.