Quantitative structural analysis of influenza virus by cryo-electron tomography and convolutional neural networks

Quantitative structural analysis of influenza virus by cryo-electron tomography and convolutional neural networks

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 v...

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Bibliographic Details
Main Authors: Bolon, D.N.A (Author), Finberg, R.W (Author), Huang, Q.J (Author), Schiffer, C.A (Author), Somasundaran, M. (Author), Song, K. (Author), Wang, J.P (Author), Xu, C. (Author)
Format: Article
Language:English
Published: Cell Press 2022
Subjects:
convolutional neural networks
cryo-electron tomography
cryoET
hemagglutinin
influenza
tomography
virus glycoprotein
virus ultrastructure
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