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Related Concept Videos

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The Self-Evaluation Maintenance (SEM) model offers a psychological framework to understand how individuals’ self-esteem is influenced by the achievements of others, particularly those with whom they share close personal bonds. The SEM model operates when personal rather than social identity guides individuals. Central to this model is the notion that individuals have an inherent desire to preserve a favorable self-image, which is continuously shaped by interpersonal comparisons and...
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Related Experiment Video

Updated: Feb 7, 2026

Preparation of High-Temperature Sample Grids for Cryo-EM
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Evaluation system and web infrastructure for the second cryo-EM model challenge.

Andriy Kryshtafovych1, Paul D Adams2, Catherine L Lawson3

  • 1Genome Center, University of California, Davis, 451 Health Sciences Drive, Davis, CA 95616, USA.

Journal of Structural Biology
|July 19, 2018
PubMed
Summary
This summary is machine-generated.

A new evaluation system and web infrastructure were created for the cryo-electron microscopy (cryo-EM) model challenge. These tools assess model accuracy and similarity to reference structures, aiding in cryo-EM data analysis.

Keywords:
Cryo-EMModel challengeProtein structure modelingProtein structure verification

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Area of Science:

  • Structural biology
  • Biophysical techniques
  • Computational biology

Background:

  • Cryo-electron microscopy (cryo-EM) has advanced molecular structure determination.
  • Assessing the quality of atomic models built into cryo-EM density maps is crucial.
  • Standardized evaluation metrics are needed for comparing models from different sources.

Purpose of the Study:

  • To develop and present an evaluation system for the second cryo-EM model challenge.
  • To create a web infrastructure for accessible analysis of cryo-EM models.
  • To facilitate the comparison of submitted models against reference structures and each other.

Main Methods:

  • Development of an evaluation system with tools for stereo-chemical plausibility, fit to density, and accuracy estimation.
  • Implementation of similarity assessments against reference cryo-EM/X-ray structures and peer models.
  • Creation of a web-based platform with interactive tables and visualization tools for detailed model analysis.

Main Results:

  • A comprehensive evaluation system was successfully implemented for the cryo-EM model challenge.
  • The web infrastructure provides user-friendly access to model evaluation results.
  • Publicly accessible results allow for detailed comparison of submitted cryo-EM models.

Conclusions:

  • The developed system provides robust tools for assessing cryo-EM model quality.
  • The web infrastructure enhances the accessibility and utility of model evaluation data.
  • This resource supports the advancement of cryo-EM structure determination and model building.