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High-resolution real-space reconstruction of cryo-EM structures using a neural field network

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Huang, Yue, Zhu, Chengguang, Yang, Xiaokang, Liu, Manhua·2024·Nature Machine Intelligence
DOI 10.1038/s42256-024-00870-2

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Metadata

Authors
Huang, Y., Zhu, C., Yang, X., & Liu, M.
Affiliations
Shanghai Jiao Tong University (CN)
Corresponding author
  • Yang, Xiaokang
  • Liu, Manhua
ORCID
Venue
Nature Machine Intelligence
Publisher
Springer Science and Business Media LLC
Published
2024-07-12
Volume
6
Issue
8
Pages
892-903
ISSN
2522-5839 (ISSN-L)
DOI
10.1038/s42256-024-00870-2
OpenAlex
W4400588667
Cited by
9
References
2
Citations by year
2026: 4 · 2025: 5
FWCI
1.65
Type
journal article
Language
en
Open access
Licence
Locations
  • Nature Machine Intelligence (publishedVersion)
  • Research Square (acceptedVersion, cc-by)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Advanced Electron Microscopy Techniques and Applications
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Enzyme Structure and Function
Keywords
SARS-CoV-2, high-resolution structure determination

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CoChat. (2026). Citation check: High-resolution real-space reconstruction of cryo-EM structures using a neural field network. https://app.cochat.ai/papers/10.1038/s42256-024-00870-2
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Huang, Y., Zhu, C., Yang, X., & Liu, M. (2024). High-resolution real-space reconstruction of cryo-EM structures using a neural field network. Nature Machine Intelligence. https://doi.org/10.1038/s42256-024-00870-2