Probing Structural Perturbation of Biomolecules by Extracting Cryo-EM Data Heterogeneity

Kira Devore, Po Lin Chiu

Research output: Contribution to journalReview articlepeer-review

Abstract

Single-particle cryogenic electron microscopy (cryo-EM) has become an indispensable tool to probe high-resolution structural detail of biomolecules. It enables direct visualization of the biomolecules and opens a possibility for averaging molecular images to reconstruct a three-dimensional Coulomb potential density map. Newly developed algorithms for data analysis allow for the extraction of structural heterogeneity from a massive and low signal-to-noise-ratio (SNR) cryo-EM dataset, expanding our understanding of multiple conformational states, or further implications in dynamics, of the target biomolecule. This review provides an overview that briefly describes the workflow of single-particle cryo-EM, including imaging and data processing, and new methods developed for analyzing the data heterogeneity to understand the structural variability of biomolecules.

Original languageEnglish (US)
Article number628
JournalBiomolecules
Volume12
Issue number5
DOIs
StatePublished - May 2022

Keywords

  • deep learning
  • heterogeneity
  • image classification
  • molecular dynamics
  • molecular dynamics flexible fitting
  • single-particle cryo-EM

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology

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