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TitleDeconvolution to restore cryo-EM maps with anisotropic resolution.
Journal, issue, pagesbioRxiv, Year 2025
Publish dateMar 1, 2025
AuthorsJunrui Li / Yifei Chen / Shawn Zheng / Angus McDonald / John W Sedat / David A Agard / Yifan Cheng /
PubMed AbstractWith technological advancements in recent years, single particle cryogenic electron microscopy (cryo-EM) has become a major methodology for structural biology. Structure determination by single ...With technological advancements in recent years, single particle cryogenic electron microscopy (cryo-EM) has become a major methodology for structural biology. Structure determination by single particle cryo-EM is premised on randomly orientated particles embedded in thin layer of vitreous ice to resolve high-resolution structural information in all directions. Otherwise, preferentially distributed particle orientations will lead to anisotropic resolution of the structure. Here we established a deconvolution approach, named AR-Decon, to computationally improve the quality of three-dimensional maps with anisotropic resolutions reconstructed from datasets with preferred orientations. We have tested and validated the procedure with both synthetic and experimental datasets and compared its performance with alternative machine-learning based methods.
External linksbioRxiv / PubMed:40060637 / PubMed Central
MethodsEM (single particle)
Resolution4.25 Å
Structure data

EMDB-49155: Deconvolution of an Influenza hemagglutinin (HA) trimer reconstruction (emd-8731)
Method: EM (single particle) / Resolution: 4.25 Å

Source
  • Influenza A virus (A/Hong Kong/1/1968(H3N2))

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