Evidence map›Paper›PMID 34168168›Full record

ArticleScientific reports2021

In silico comparison of SARS-CoV-2 spike protein-ACE2 binding affinities across species and implications for virus origin.

Sakshi Piplani, Puneet Kumar Singh, David A Winkler, Nikolai Petrovsky

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

60 citing papers in PubMed, 106 citations in OpenAlex.

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  12. SARS-CoV-2S-Protein-Ace2 Binding Analysis Using Surface Plasmon Resonance.Methods in molecular biology (Clifton, N.J.) · 2024
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  17. Implications of SARS-CoV-2 spike protein interactions with Zn-bound form of ACE2: a computational structural study.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Sakshi PiplaniCollege of Medicine and Public Health, Flinders University, Bedford Park, 5046, Australia.
Puneet Kumar SinghVaxine Pty Ltd, 11 Walkley Avenue, Warradale, 5046, Australia.
David A WinklerDepartment of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, VIC, 3086, Australia. d.winkler@latrobe.edu.au.
Nikolai PetrovskyCollege of Medicine and Public Health, Flinders University, Bedford Park, 5046, Australia. nikolai.petrovsky@flinders.edu.au.
Vaxine (Australia) · AUUniversity of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The devastating impact of the COVID-19 pandemic caused by SARS-coronavirus 2 (SARS-CoV-2) has raised important questions about its origins and the mechanism of its transfer to humans. A further question was whether companion or commercial animals could act as SARS-CoV-2 vectors, with early data suggesting susceptibility is species specific. To better understand SARS-CoV-2 species susceptibility, we undertook an in silico structural homology modelling, protein-protein docking, and molecular dynamics simulation study of SARS-CoV-2 spike protein's ability to bind angiotensin converting enzyme 2 (ACE2) from relevant species. Spike protein exhibited the highest binding to human (h)ACE2 of all the species tested, forming the highest number of hydrogen bonds with hACE2. Interestingly, pangolin ACE2 showed the next highest binding affinity despite having a relatively low sequence homology, whereas the affinity of monkey ACE2 was much lower despite its high sequence similarity to hACE2. These differences highlight the power of a structural versus a sequence-based approach to cross-species analyses. ACE2 species in the upper half of the predicted affinity range (monkey, hamster, dog, ferret, cat) have been shown to be permissive to SARS-CoV-2 infection, supporting a correlation between binding affinity and infection susceptibility. These findings show that the earliest known SARS-CoV-2 isolates were surprisingly well adapted to bind strongly to human ACE2, helping explain its efficient human to human respiratory transmission. This study highlights how in silico structural modelling methods can be used to rapidly generate information on novel viruses to help predict their behaviour and aid in countermeasure development.

Indexed as

Angiotensin-Converting Enzyme 2COVID-19Receptors, VirusSpike Glycoprotein, CoronavirusAnimalsHumansProtein BindingProtein ConformationSpecies SpecificityStructure-Activity RelationshipACE2 protein, humanAngiotensin-Converting Enzyme 2Receptors, VirusSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID34168168
PMCPMC8225877
OpenAlexW3174069355

What OpenQuestion holds

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LicenceCC BY
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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.