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Abstract
We modeled 3D structures of all SARS-CoV-2 proteins, generating 2,060 models that span 69% of the viral proteome and provide details not available elsewhere. We found that ˜6% of the proteome mimicked human proteins, while ˜7% was implicated in hijacking mechanisms that reverse post-translational modifications, block host translation, and disable host defenses; a further ˜29% self-assembled into heteromeric states that provided insight into how the viral replication and translation complex forms. To make these 3D models more accessible, we devised a structural coverage map, a novel visualization method to show what is-and is not-known about the 3D structure of the viral proteome. We integrated the coverage map into an accompanying online resource (https://aquaria.ws/covid) that can be used to find and explore models corresponding to the 79 structural states identified in this work. The resulting Aquaria-COVID resource helps scientists use emerging structural data to understand the mechanisms underlying coronavirus infection and draws attention to the 31% of the viral proteome that remains structurally unknown or dark.
Original language | English |
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Article number | e10079 |
Number of pages | 24 |
Journal | Molecular Systems Biology |
Volume | 17 |
Issue number | 9 |
Early online date | 1 Sept 2021 |
DOIs | |
Publication status | Published - 14 Sept 2021 |
Keywords
- COVID-19
- SARS-CoV-2
- bioinformatics
- data visualization
- structural biology
ASJC Scopus subject areas
- General Biochemistry,Genetics and Molecular Biology
- General Immunology and Microbiology
- General Agricultural and Biological Sciences
- Applied Mathematics
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The Jalview Resource for Biological Sequence, Structure and Function Analysis: 2019 and Beyond
Barton, G. (Investigator) & Procter, J. (Investigator)
1/01/21 → 31/12/25
Project: Research