ArticleStructure (London, England : 1993)2022
Quantitative structural analysis of influenza virus by cryo-electron tomography and convolutional neural networks.
Article in Structure (London, England : 1993), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 23 citations in OpenAlex.
- Modular Molecular Design and Self-Assembled Nanostructures of Saccharide‑Appended Cyclic Dipeptides for Glycosidase‑Responsive Supramolecular Hydrogels.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Unsupervised classification of influenza virus surface spikes from cryo-EM reconstructions using head-to-stem width ratio.Virology journal · 2025Article
- Subnanometer-resolution Structural Determination of Hemagglutinin from Cryo-electron Tomography of Influenza Viruses.Journal of visualized experiments : JoVE · 2025Article
- Visualizing influenza A virus assembly by in situ cryo-electron tomography.Nature communications · 2025Article
- High-throughput single-virion DNA-PAINT reveals structural diversity, cooperativity, and flexibility during selective packaging in influenza.Nucleic acids research · 2025Article
- A ventilated perfused lung model platform to dissect the response of the lungs to viral infection.Trends in biotechnology · 2025Article
- Virion-associated influenza hemagglutinin clusters upon sialic acid binding visualized by cryoelectron tomography.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Structural glycobiology - from enzymes to organelles.Biochemical Society transactions · 2025Review
- Deep learning architectures for influenza dynamics and treatment optimization: a comprehensive review.Frontiers in artificial intelligence · 2025Review
- Sample Preparation for Cryo-Electron Tomography of Influenza A Virus and Infected Cells.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Vaccine design via antigen reorientation.Nature chemical biology · 2024Article
- Airborne transmission of common swine viruses.Porcine health management · 2023Review
- Airway Epithelial Cell Junctions as Targets for Pathogens and Antimicrobial Therapy.Pharmaceutics · 2022Review
- Quantitative Cryo-Electron Tomography.Frontiers in molecular biosciences · 2022Review
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Influenza viruses pose severe public health threats globally. Influenza viruses are extensively pleomorphic, in shape, size, and organization of viral proteins. Analysis of influenza morphology and ultrastructure can help elucidate viral structure-function relationships and aid in therapeutics and vaccine development. While cryo-electron tomography (cryoET) can depict the 3D organization of pleomorphic influenza, the low signal-to-noise ratio inherent to cryoET and viral heterogeneity have precluded detailed characterization of influenza viruses. In this report, we leveraged convolutional neural networks and cryoET to characterize the morphological architecture of the A/Puerto Rico/8/34 (H1N1) influenza strain. Our pipeline improved the throughput of cryoET analysis and accurately identified viral components within tomograms. Using this approach, we successfully characterized influenza morphology, glycoprotein density, and conducted subtomogram averaging of influenza glycoproteins. Application of this processing pipeline can aid in the structural characterization of not only influenza viruses, but other pleomorphic viruses and infected cells.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.