Author

E. D. Zhong

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biochemistry· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Assay:cryo-EM· 2 Approach:deep learning· 2 Research Focus:protein structure prediction· 2 Organism:yeast· 1

Frequent Co-Authors

A. Kotecha· 1 shared A. Lerer· 1 shared B. Berger· 1 shared B. M. Powell· 1 shared J. H. Davis· 1 shared J. Johnston· 1 shared L. F. Kinman· 1 shared M. Obr· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBiophysics

A. Kotecha

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintAug 18, 2023

Deep reconstructing generative networks for visualizing dynamic biomolecules inside cells

R. Rangan, S. Khavnekar, A. Lerer…·E. D. Zhong

The paper introduces cryoDRGN-ET, a deep generative model for reconstructing dynamic biomolecular structures from cryo-ET subtomograms, revealing ribosome states in yeast cells.

DOI 10.1101/2023.08.18.553799

yeastcryo-EM

𝕏 PostBluesky

BiochemistrybioRxivAug 9, 2022

Uncovering structural ensembles from single particle cryo-EM data using cryoDRGN

L. F. Kinman, B. M. Powell, E. D. Zhong…·J. H. Davis

This paper introduces cryoDRGN, a deep generative model for cryo-EM density maps, and provides a protocol for analyzing its results.

DOI 10.1038/s41596-022-00763-x

cryo-EMdeep learning

𝕏 PostBluesky