CryoDRGN-ET: deep reconstructing generative networks for visualizing dynamic biomolecules inside cells

Rangan, R., Feathers, R., Khavnekar, S., Lerer, A., Johnston, J. D., Kelley, R., Obr, M., Kotecha, A., & Zhong, E. D. (2024). CryoDRGN-ET: deep reconstructing generative networks for visualizing dynamic biomolecules inside cells. Nature Methods, 21(8), 1537–1545. https://doi.org/10.1038/s41592-024-02340-4
Authors:
Ramya Rangan
Ryan Feathers
Sagar Khavnekar
Adam Lerer
Jake D Johnston
Ron Kelley
Martin Obr
Abhay Kotecha
Ellen D Zhong
Affiliated Authors:
Jake D Johnston
Columbia Affiliation:
Subjects:
Saccharomyces cerevisiae (MeSH)
Ribosomes (MeSH)
Electron Microscope Tomography (MeSH)
Cryoelectron Microscopy (MeSH)
Image Processing, Computer-Assisted (MeSH)
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Publication Type:
Article
Unique ID:
10.1038/s41592-024-02340-4
PMID:
39025970
DOI:
10.1038/s41592-024-02340-4
Journal:
Nature Methods
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record

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