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Related Concept Videos

Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

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.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...

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Related Experiment Video

Updated: May 31, 2026

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
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MultiFit: a web server for fitting multiple protein structures into their electron microscopy density map.

Elina Tjioe1, Keren Lasker, Ben Webb

  • 1Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA.

Nucleic Acids Research
|July 1, 2011
PubMed
Summary
This summary is machine-generated.

Researchers developed a web server to fit protein structures into electron microscopy density maps. This tool aids in determining the structure of large biological assemblies, improving resolution and analysis.

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Area of Science:

  • Structural Biology
  • Biophysics
  • Computational Biology

Background:

  • Electron microscopy (EM) enables high-resolution structure determination of large biological assemblies.
  • Accurate fitting of component structures into EM density maps is crucial for assembly analysis.

Purpose of the Study:

  • To present a novel web server designed for fitting multiple protein structures into EM-derived density maps.
  • To provide a user-friendly platform for analyzing the composition of biological assemblies.

Main Methods:

  • The web server accepts protein structures in Protein Data Bank (PDB) format and EM density maps in MRC format.
  • It generates an ensemble of fitted models, ranked by their quality of fit.

Main Results:

  • The server outputs ranked models that can be visualized online.
  • Users can download the generated models for further analysis.

Conclusions:

  • The developed web server facilitates the integration of atomic and EM data.
  • It offers a valuable resource for structural biologists studying large molecular complexes.