Evidence map›Paper›PMID 34519429›Full record

ArticleMolecular systems biology2021

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

Seán I O'Donoghue, Andrea Schafferhans, Neblina Sikta, Christian Stolte, Sandeep Kaur, Bosco K Ho, Stuart Anderson, James B Procter, Christian Dallago, Nicola Bordin and 2 more

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 3 countries.

Seán I O'DonoghueGarvan Institute of Medical Research, Darlinghurst, NSW, Australia.ORCID 0000-0001-9520-6623
Andrea SchafferhansGarvan Institute of Medical Research, Darlinghurst, NSW, Australia.ORCID 0000-0002-5569-6186
Neblina SiktaGarvan Institute of Medical Research, Darlinghurst, NSW, Australia.ORCID 0000-0001-7778-805X
Christian StolteGarvan Institute of Medical Research, Darlinghurst, NSW, Australia.ORCID 0000-0002-8228-4195
Sandeep KaurGarvan Institute of Medical Research, Darlinghurst, NSW, Australia.
Bosco K HoGarvan Institute of Medical Research, Darlinghurst, NSW, Australia.
Stuart AndersonCSIRO Data61, Canberra, ACT, Australia.
James B ProcterSchool of Life Sciences, The University of Dundee, Dundee, UK.
Christian DallagoDepartment of Informatics, Bioinformatics & Computational Biology, Technical University of Munich, Munich, Germany.
Nicola BordinInstitute of Structural and Molecular Biology, University College London, London, UK.ORCID 0000-0002-6568-9035
Matt AdcockCSIRO Data61, Canberra, ACT, Australia.
Burkhard RostDepartment of Informatics, Bioinformatics & Computational Biology, Technical University of Munich, Munich, Germany.
Garvan Institute of Medical Research · AUCommonwealth Scientific and Industrial Research Organisation · AUTechnical University of Munich · DEInstitute of Structural and Molecular Biology · GBUniversity of Dundee · GB

Funding

Biotechnology and Biological Sciences Research Council (BBSRC) BB/R009597/1Bundesministerium für Bildung und Forschung (BMBF) 01IS17049Bundesministerium für Bildung und Forschung (BMBF) 031L0168Garvan Research FoundationSony Foundation AustraliaTour de Cure AustraliaWellcome TrustWellcome Trust, UK 218259/Z/19/Z
6 · The paper itself

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.

Indexed as

Protein Processing, Post-TranslationalAmino Acid Transport Systems, NeutralAngiotensin-Converting Enzyme 2Binding SitesComputational BiologyCoronavirus Envelope ProteinsCoronavirus M ProteinsCoronavirus Nucleocapsid ProteinsCOVID-19Host-Pathogen InteractionsHumansMitochondrial Membrane Transport ProteinsMitochondrial Precursor Protein Import Complex ProteinsModels, MolecularMolecular MimicryNeuropilin-1ACE2 protein, humanAmino Acid Transport Systems, NeutralAngiotensin-Converting Enzyme 2Coronavirus Envelope ProteinsCoronavirus M ProteinsCoronavirus Nucleocapsid Proteinsenvelope protein, SARS-CoV-2membrane protein, SARS-CoV-2Mitochondrial Membrane Transport ProteinsMitochondrial Precursor Protein Import Complex ProteinsNeuropilin-1NRP1 protein, humannucleocapsid phosphoprotein, SARS-CoV-2ORF3a protein, SARS-CoV-2PhosphoproteinsSLC6A19 protein, humanSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2TOMM70 protein, humanViral Matrix ProteinsViroporin ProteinsbioinformaticsCOVID-19data visualizationSARS-CoV-2structural biology

Identifiers

PMID34519429
PMCPMC8438690
OpenAlexW3201299379

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.