Deep generative modeling for volume reconstruction in cryo-electron microscopy
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Title
Deep generative modeling for volume reconstruction in cryo-electron microscopy
Authors
Keywords
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Journal
JOURNAL OF STRUCTURAL BIOLOGY
Volume 214, Issue 4, Pages 107920
Publisher
Elsevier BV
Online
2022-11-08
DOI
10.1016/j.jsb.2022.107920
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Note: Only part of the references are listed.- Artificial intelligence advances for de novo molecular structure modeling in cryo‐electron microscopy
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- Single-particle cryo-EM at atomic resolution
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- (2020) Yana Rose et al. JOURNAL OF MOLECULAR BIOLOGY
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- (2018) David Haselbach et al. CELL
- Cryo-EM in drug discovery: achievements, limitations and prospects
- (2018) Jean-Paul Renaud et al. NATURE REVIEWS DRUG DISCOVERY
- cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination
- (2017) Ali Punjani et al. NATURE METHODS
- Covariance Matrix Estimation for the Cryo-EM Heterogeneity Problem
- (2015) E. Katsevich et al. SIAM Journal on Imaging Sciences
- Image formation modeling in cryo-electron microscopy
- (2013) Miloš Vulović et al. JOURNAL OF STRUCTURAL BIOLOGY
- Avoiding the pitfalls of single particle cryo-electron microscopy: Einstein from noise
- (2013) R. Henderson PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- RELION: Implementation of a Bayesian approach to cryo-EM structure determination
- (2012) Sjors H.W. Scheres JOURNAL OF STRUCTURAL BIOLOGY
- A Bayesian View on Cryo-EM Structure Determination
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