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Viral Architecture of SARS-CoV-2 with Post-Fusion Spike Revealed by Cryo-EM

Liu, C.; Yang, Y.; Gao, Y.; Shen, C.; Ju, B.; Liu, C.; Tang, X.; Wei, J.; Ma, X.; Liu, W.; Xu, S.; Liu, Y.; Yuan, J.; Wu, J.; Liu, Z.; Zhang, Z.; Wang, P.; Liu, L.

2020-03-05 microbiology
10.1101/2020.03.02.972927 bioRxiv
Show abstract

Since December 2019, the outbreak of Coronavirus Disease 2019 (COVID-19) spread from Wuhan, China to the world, it has caused more than 87,000 diagnosed cases and more than 3,000 deaths globally. To fight against COVID-19, we carried out research for the near native SARS-CoV-2 and report here our preliminary results obtained. The pathogen of the COVID-19, the native SARS-CoV-2, was isolated, amplified and purified in a BSL-3 laboratory. The whole viral architecture of SARS-CoV-2 was examined by transmission electron microscopy (both negative staining and cryo-EM). We observed that the virion particles are roughly spherical or moderately pleiomorphic. Spikes have nail-like shape towards outside with a long body embedded in the envelope. The morphology of virion observed in our result indicates that the S protein of SARS-CoV-2 is in post-fusion state, with S1 disassociated. This state revealed by cryo-EM first time could provide an important information for the identification and relevant clinical research of this new coronavirus.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Virology Journal
○ 32 papers in training set
Top 0.1%
7.8%
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2
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Top 0.5%
7.2%
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3
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6.7%
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4
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6.7%
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5
Journal of Virology
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Top 1%
5.4%
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6
Biochemical and Biophysical Research Communications
○ 84 papers in training set
Top 0.2%
5.1%
7
Journal of General Virology
● 53 papers in training set
Top 0.1%
4.8%
8
Vaccines
○ 198 papers in training set
Top 0.8%
4.0%
9
Antiviral Research
○ 50 papers in training set
Top 0.2%
3.4%
50% of probability mass above
10
PLOS Pathogens
● 820 papers in training set
Top 4%
3.2%
11
PLOS ONE
● 5266 papers in training set
Top 38%
2.8%
12
eLife
● 5828 papers in training set
Top 40%
2.6%
13
Microbiology Spectrum
● 469 papers in training set
Top 5%
2.4%
14
Frontiers in Microbiology
○ 427 papers in training set
Top 4%
2.4%
15
Scientific Reports
○ 3612 papers in training set
Top 43%
2.4%
16
Science Bulletin
○ 21 papers in training set
Top 0.1%
1.9%
17
Frontiers in Cellular and Infection Microbiology
○ 109 papers in training set
Top 2%
1.7%
18
Virology
○ 61 papers in training set
Top 0.7%
1.7%
19
The Innovation
○ 13 papers in training set
Top 0.1%
1.7%
20
Influenza and Other Respiratory Viruses
○ 46 papers in training set
Top 0.4%
1.4%
21
Frontiers in Virology
○ 15 papers in training set
Top 0.1%
1.3%
22
Virus Research
○ 37 papers in training set
Top 0.5%
1.1%
23
mBio
● 833 papers in training set
Top 9%
1.1%
24
Virologica Sinica
○ 11 papers in training set
Top 0.1%
1.1%
25
International Journal of Molecular Sciences
○ 494 papers in training set
Top 16%
0.8%
26
Science China Life Sciences
○ 29 papers in training set
Top 0.6%
0.8%
27
Journal of Molecular Cell Biology
◐ 22 papers in training set
Top 0.4%
0.6%
28
Archives of Virology
○ 15 papers in training set
Top 0.3%
0.6%
29
Heliyon
○ 152 papers in training set
Top 10%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.