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

Rangan, Ramya; Feathers, Ryan; Khavnekar, Sagar; Lerer, Adam; Johnston, Jake D.; Kelley, Ron; Obr, Martin; Kotecha, Abhay; Zhong, Ellen D.

doi:10.1038/s41592-024-02340-4

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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., et al. (2024). CryoDRGN-ET: deep reconstructing generative networks for visualizing dynamic biomolecules inside cells. Nature Methods, 21, 1537-1545. doi:10.1038/s41592-024-02340-4.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0010-DDB0-E Version Permalink: https://hdl.handle.net/21.11116/0000-0010-DDB1-D

Genre: Journal Article

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Creators:
Rangan, Ramya¹, Author
Feathers, Ryan¹, Author
Khavnekar, Sagar², Author
Lerer, Adam¹, Author
Johnston, Jake D.¹, Author
Kelley, Ron¹, Author
Obr, Martin¹, Author
Kotecha, Abhay¹, Author
Zhong, Ellen D.¹, Author

Affiliations:
1External Organizations, ou_persistent22
2Baumeister, Wolfgang / Molecular Structural Biology, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565142

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Dates: Published Online: 2024-07-18Date issued: 2024

Publication Status: Issued

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Identifiers: DOI: 10.1038/s41592-024-02340-4

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Title: Nature Methods

Source Genre: Journal

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Pages: - Volume / Issue: 21 Sequence Number: - Start / End Page: 1537 - 1545 Identifier: ISSN: 1548-7091
ISSN: 1548-7105