Deep learning-based mixed-dimensional Gaussian mixture model for characterizing variability in cryo-EM
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Deep learning-based mixed-dimensional Gaussian mixture model for characterizing variability in cryo-EM
Authors
Keywords
-
Journal
NATURE METHODS
Volume 18, Issue 8, Pages 930-936
Publisher
Springer Science and Business Media LLC
Online
2021-07-30
DOI
10.1038/s41592-021-01220-5
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- CryoDRGN: reconstruction of heterogeneous cryo-EM structures using neural networks
- (2021) Ellen D. Zhong et al. NATURE METHODS
- 3D variability analysis: Resolving continuous flexibility and discrete heterogeneity from single particle cryo-EM
- (2021) Ali Punjani et al. JOURNAL OF STRUCTURAL BIOLOGY
- Structures and distributions of SARS-CoV-2 spike proteins on intact virions
- (2020) Zunlong Ke et al. NATURE
- Retrieving functional pathways of biomolecules from single-particle snapshots
- (2020) Ali Dashti et al. Nature Communications
- Principles for Integrative Structural Biology Studies
- (2019) Michael P. Rout et al. CELL
- Gaussian-input Gaussian mixture model for representing density maps and atomic models
- (2018) Takeshi Kawabata JOURNAL OF STRUCTURAL BIOLOGY
- Characterisation of molecular motions in cryo-EM single-particle data by multi-body refinement in RELION
- (2018) Takanori Nakane et al. eLife
- Integrative structure and functional anatomy of a nuclear pore complex
- (2018) Seung Joong Kim et al. NATURE
- Cryo-EM structures and dynamics of substrate-engaged human 26S proteasome
- (2018) Yuanchen Dong et al. NATURE
- Bayesian Weighing of Electron Cryo-Microscopy Data for Integrative Structural Modeling
- (2018) Massimiliano Bonomi et al. STRUCTURE
- New tools for automated high-resolution cryo-EM structure determination in RELION-3
- (2018) Jasenko Zivanov et al. eLife
- Structure of a pre-catalytic spliceosome
- (2017) Clemens Plaschka et al. NATURE
- Modular Assembly of the Bacterial Large Ribosomal Subunit
- (2016) Joseph H. Davis et al. CELL
- Coarse-Graining of Volumes for Modeling of Structure and Dynamics in Electron Microscopy: Algorithm to Automatically Control Accuracy of Approximation
- (2016) Slavica Jonic et al. IEEE Journal of Selected Topics in Signal Processing
- High resolution single particle refinement in EMAN2.1
- (2016) James M. Bell et al. METHODS
- Cryo-EM Structure of Caspase-8 Tandem DED Filament Reveals Assembly and Regulation Mechanisms of the Death-Inducing Signaling Complex
- (2016) Tian-Min Fu et al. MOLECULAR CELL
- EMPIAR: a public archive for raw electron microscopy image data
- (2016) Andrii Iudin et al. NATURE METHODS
- Three-dimensional structure of human γ-secretase
- (2014) Peilong Lu et al. NATURE
- Identifying Conformational States of Macromolecules by Eigen-Analysis of Resampled Cryo-EM Images
- (2011) Pawel A. Penczek et al. STRUCTURE
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now