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Related Concept Videos

Cryo-electron Microscopy01:28

Cryo-electron Microscopy

3.2K
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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Related Experiment Video

Updated: May 2, 2026

Routine Collection of High-Resolution cryo-EM Datasets Using 200 KV Transmission Electron Microscope
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Routine Collection of High-Resolution cryo-EM Datasets Using 200 KV Transmission Electron Microscope

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Estimating loop length from CryoEM images at medium resolutions.

Andrew McKnight, Dong Si, Kamal Al Nasr

    BMC Structural Biology
    |February 26, 2014
    PubMed
    Summary
    This summary is machine-generated.

    Accurately measuring protein loop lengths from electron cryomicroscopy (CryoEM) data is crucial for de novo protein modeling. A new computational geometric method estimates loop lengths along skeletons, achieving high accuracy on simulated and experimental CryoEM images.

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    Single Particle Cryo-Electron Microscopy: From Sample to Structure
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    Related Experiment Videos

    Last Updated: May 2, 2026

    Routine Collection of High-Resolution cryo-EM Datasets Using 200 KV Transmission Electron Microscope
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    A Robust Single-Particle Cryo-Electron Microscopy cryo-EM Processing Workflow with cryoSPARC, RELION, and Scipion
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    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

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    Area of Science:

    • Structural biology
    • Computational biology
    • Biophysics

    Background:

    • De novo protein modeling relies on 3D electron cryomicroscopy (CryoEM) data.
    • Accurate measurement of loop lengths along structural skeletons is vital for protein modeling.
    • Loops connect secondary structures like alpha-helices in 3D CryoEM images.

    Purpose of the Study:

    • To develop a novel computational geometric approach for estimating protein loop lengths from CryoEM data.
    • To assess the accuracy of this method using simulated and experimental datasets.

    Main Methods:

    • A computational geometric method was developed to simplify skeletons and estimate loop lengths.
    • The method was tested on 50 simulated helix-loop-helix density maps.
    • Validation was performed using 18 experimental CryoEM datasets from the EMDB.

    Main Results:

    • The method estimated loop lengths within 0.5 Å of expected values for 48 out of 50 simulated cases.
    • For 18 experimental CryoEM images, 12 cases showed error within 2 Å.
    • Successful estimation is dependent on accurate detection of secondary structures and continuous skeletons.

    Conclusions:

    • The proposed computational method accurately estimates protein loop lengths along skeletons in CryoEM data.
    • The method's accuracy is contingent upon reliable detection of secondary structures (e.g., alpha-helices) and continuous skeletal connections.
    • This approach offers a valuable tool for enhancing de novo protein modeling.