Evidence map›Paper›PMID 36693110›Full record

ArticlePLoS computational biology2023

Antibody accessibility determines location of spike surface mutations in SARS-CoV-2 variants.

Sören von Bülow, Mateusz Sikora, Florian E C Blanc, Roberto Covino, Gerhard Hummer

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Refined Protein-Sugar Interactions in the Martini Force Field.Journal of chemical theory and computation · 2024
    Article
  5. Article
  6. Modification of N-Linked Glycan Sites in Viral Glycoproteins.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  7. Article
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

5 authors at 4 institutions in 2 countries.

Sören von BülowDepartment of Theoretical Biophysics, Max Planck Institute of Biophysics, Frankfurt am Main, Germany.ORCID 0000-0001-7125-5973
Mateusz SikoraDepartment of Theoretical Biophysics, Max Planck Institute of Biophysics, Frankfurt am Main, Germany.ORCID 0000-0003-1691-4045
Florian E C BlancDepartment of Theoretical Biophysics, Max Planck Institute of Biophysics, Frankfurt am Main, Germany.ORCID 0000-0002-0762-0478
Roberto CovinoFrankfurt Institute for Advanced Studies, Frankfurt am Main, Germany.
Gerhard HummerDepartment of Theoretical Biophysics, Max Planck Institute of Biophysics, Frankfurt am Main, Germany.ORCID 0000-0001-7768-746X
Max Planck Institute of Biophysics · DEFrankfurt Institute for Advanced Studies · DEGoethe University Frankfurt · DEJagiellonian University · PL

Funding

Austrian Science Fund FWF J 4332
6 · The paper itself

Abstract

The steady emergence of SARS-CoV-2 variants gives us a real-time view of the interplay between viral evolution and the host immune defense. The spike protein of SARS-CoV-2 is the primary target of antibodies. Here, we show that steric accessibility to antibodies provides a strong predictor of mutation activity in the spike protein of SARS-CoV-2 variants, including Omicron. We introduce an antibody accessibility score (AAS) that accounts for the steric shielding effect of glycans at the surface of spike. We find that high values of the AAS correlate strongly with the sites of mutations in the spike proteins of newly emerging SARS-CoV-2 variants. We use the AAS to assess the escapability of variant spike proteins, i.e., their ability to escape antibody-based immune responses. The high calculated escapability of the Omicron variant BA.5 with respect to both wild-type (WT) vaccination and BA.1 infection is consistent with its rapid spread despite high rates of vaccination and prior infection with earlier variants. We calculated the AAS from structural and molecular dynamics simulation data that were available early in the pandemic, in the spring of 2020. The AAS thus allows us to prospectively assess the ability of variant spike proteins to escape antibody-based immune responses and to pinpoint regions of expected mutation activity in future variants.

Indexed as

COVID-19SARS-CoV-2AntibodiesAntibodies, NeutralizingAntibodies, ViralHumansMutationSpike Glycoprotein, CoronavirusAntibodiesAntibodies, NeutralizingAntibodies, ViralSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID36693110
PMCPMC9897577
OpenAlexW4317871175

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.