ArticleStructure (London, England : 1993)2015
Efficient estimation of three-dimensional covariance and its application in the analysis of heterogeneous samples in cryo-electron microscopy.
Article in Structure (London, England : 1993), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Algebraic constraints and algorithms for common lines in cryo-EM.Biological imaging · 2024Article
- MDSPACE and MDTOMO Software for Extracting Continuous Conformational Landscapes from Datasets of Single Particle Images and Subtomograms Based on Molecular Dynamics Simulations: Latest Developments in ContinuousFlex Software Package.International journal of molecular sciences · 2023Article
- Methods for Cryo-EM Single Particle Reconstruction of Macromolecules Having Continuous Heterogeneity.Journal of molecular biology · 2023Review
- Emerging Themes in CryoEM─Single Particle Analysis Image Processing.Chemical reviews · 2022Review
- Quantitative mining of compositional heterogeneity in cryo-EM datasets of ribosome assembly intermediates.Structure (London, England : 1993) · 2022Article
- A Bayesian approach to extracting free-energy profiles from cryo-electron microscopy experiments.Scientific reports · 2021Article
- Principal component analysis is limited to low-resolution analysis in cryoEM.Acta crystallographica. Section D, Structural biology · 2021Article
- Cryo-EM reconstruction of continuous heterogeneity by Laplacian spectral volumes.Inverse problems · 2020Article
- Advances in methods for atomic resolution macromolecular structure determination.F1000Research · 2020Review
- Separating distinct structures of multiple macromolecular assemblies from cryo-EM projections.Journal of structural biology · 2020Article
- Survey of the analysis of continuous conformational variability of biological macromolecules by electron microscopy.Acta crystallographica. Section F, Structural biology communications · 2019Review
- emClarity: software for high-resolution cryo-electron tomography and subtomogram averaging.Nature methods · 2018Article
- Structural Variability from Noisy Tomographic Projections.SIAM journal on imaging sciences · 2018Article
- Particle segmentation algorithm for flexible single particle reconstruction.Biophysics reports · 2017Article
- Cryo-electron Microscopy Analysis of Structurally Heterogeneous Macromolecular Complexes.Computational and structural biotechnology journal · 2016Review
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3 authors.
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Abstract
Single-particle cryogenic electron microscopy (cryo-EM) is a powerful tool for the study of macromolecular structures at high resolution. Classification allows multiple structural states to be extracted and reconstructed from the same sample. One classification approach is via the covariance matrix, which captures the correlation between every pair of voxels. Earlier approaches employ computing-intensive resampling and estimate only the eigenvectors of the matrix, which are then used in a separate fast classification step. We propose an iterative scheme to explicitly estimate the covariance matrix in its entirety. In our approach, the flexibility in choosing the solution domain allows us to examine a part of the molecule in greater detail. Three-dimensional covariance maps obtained in this way from experimental data (cryo-EM images of the eukaryotic pre-initiation complex) prove to be in excellent agreement with conclusions derived by using traditional approaches, revealing in addition the interdependencies of ligand bindings and structural changes.
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