SARS‐CoV‐2 structural coverage map reveals viral protein assembly, mimicry, and hijacking mechanisms

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‐transla...

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Main Authors: Seán I O’Donoghue, Andrea Schafferhans, Neblina Sikta, Christian Stolte, Sandeep Kaur, Bosco K Ho, Stuart Anderson, James B Procter, Christian Dallago, Nicola Bordin, Matt Adcock, Burkhard Rost
Format: Article
Language:English
Published: Springer Nature 2021-09-01
Series:Molecular Systems Biology
Subjects:
Online Access:https://doi.org/10.15252/msb.202010079
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author Seán I O’Donoghue
Andrea Schafferhans
Neblina Sikta
Christian Stolte
Sandeep Kaur
Bosco K Ho
Stuart Anderson
James B Procter
Christian Dallago
Nicola Bordin
Matt Adcock
Burkhard Rost
author_facet Seán I O’Donoghue
Andrea Schafferhans
Neblina Sikta
Christian Stolte
Sandeep Kaur
Bosco K Ho
Stuart Anderson
James B Procter
Christian Dallago
Nicola Bordin
Matt Adcock
Burkhard Rost
author_sort Seán I O’Donoghue
collection DOAJ
description 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.
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spelling doaj.art-57f25c5fa4df43d2b612f9be089e03cc2024-03-03T01:02:25ZengSpringer NatureMolecular Systems Biology1744-42922021-09-01179n/an/a10.15252/msb.202010079SARS‐CoV‐2 structural coverage map reveals viral protein assembly, mimicry, and hijacking mechanismsSeán I O’Donoghue0Andrea Schafferhans1Neblina Sikta2Christian Stolte3Sandeep Kaur4Bosco K Ho5Stuart Anderson6James B Procter7Christian Dallago8Nicola Bordin9Matt Adcock10Burkhard Rost11Garvan Institute of Medical Research Darlinghurst NSW AustraliaGarvan Institute of Medical Research Darlinghurst NSW AustraliaGarvan Institute of Medical Research Darlinghurst NSW AustraliaGarvan Institute of Medical Research Darlinghurst NSW AustraliaGarvan Institute of Medical Research Darlinghurst NSW AustraliaGarvan Institute of Medical Research Darlinghurst NSW AustraliaCSIRO Data61 Canberra ACT AustraliaSchool of Life Sciences The University of Dundee Dundee UKDepartment of Informatics Bioinformatics & Computational Biology Technical University of Munich Munich GermanyInstitute of Structural and Molecular Biology University College London London UKCSIRO Data61 Canberra ACT AustraliaDepartment of Informatics Bioinformatics & Computational Biology Technical University of Munich Munich GermanyAbstract 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.https://doi.org/10.15252/msb.202010079bioinformaticsCOVID‐19data visualizationSARS‐CoV‐2structural biology
spellingShingle Seán I O’Donoghue
Andrea Schafferhans
Neblina Sikta
Christian Stolte
Sandeep Kaur
Bosco K Ho
Stuart Anderson
James B Procter
Christian Dallago
Nicola Bordin
Matt Adcock
Burkhard Rost
SARS‐CoV‐2 structural coverage map reveals viral protein assembly, mimicry, and hijacking mechanisms
Molecular Systems Biology
bioinformatics
COVID‐19
data visualization
SARS‐CoV‐2
structural biology
title SARS‐CoV‐2 structural coverage map reveals viral protein assembly, mimicry, and hijacking mechanisms
title_full SARS‐CoV‐2 structural coverage map reveals viral protein assembly, mimicry, and hijacking mechanisms
title_fullStr SARS‐CoV‐2 structural coverage map reveals viral protein assembly, mimicry, and hijacking mechanisms
title_full_unstemmed SARS‐CoV‐2 structural coverage map reveals viral protein assembly, mimicry, and hijacking mechanisms
title_short SARS‐CoV‐2 structural coverage map reveals viral protein assembly, mimicry, and hijacking mechanisms
title_sort sars cov 2 structural coverage map reveals viral protein assembly mimicry and hijacking mechanisms
topic bioinformatics
COVID‐19
data visualization
SARS‐CoV‐2
structural biology
url https://doi.org/10.15252/msb.202010079
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