Evidence map›Paper›PMID 35289643›Full record

ArticlemBio2022

Epistasis at the SARS-CoV-2 Receptor-Binding Domain Interface and the Propitiously Boring Implications for Vaccine Escape.

Nash D Rochman, Guilhem Faure, Yuri I Wolf, Lydia Freddolino, Feng Zhang, Eugene V Koonin

Abstract read
In one paragraph

Article in mBio, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Predicting high-fitness viral protein variants with Bayesian active learning and biophysics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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  11. Review
  12. Stability and expression of SARS-CoV-2 spike-protein mutations.Molecular and cellular biochemistry · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Nash D RochmanNational Center for Biotechnology Information, National Library of Medicine, Bethesda, Maryland, USA.ORCID 0000-0002-7991-8505
Guilhem FaureBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.ORCID 0000-0001-9537-2277
Yuri I WolfNational Center for Biotechnology Information, National Library of Medicine, Bethesda, Maryland, USA.ORCID 0000-0002-0247-8708
Lydia FreddolinoDepartment of Biological Chemistry, University of Michigan Medical School, Ann Arbor, Michigan, USA.ORCID 0000-0002-5821-4226
Feng ZhangBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.ORCID 0000-0003-0178-7995
Eugene V KooninNational Center for Biotechnology Information, National Library of Medicine, Bethesda, Maryland, USA.ORCID 0000-0003-3943-8299

Funding

Finding Protein Sequence Motifs--Methods And ApplicationsZIALM000061 · NLM · NATIONAL LIBRARY OF MEDICINE · PI KOONIN, EUGENE V · 2009 to 2025
$10.6M
Advancing understanding in the molecular mechanisms of viral epidemic potentiationZIALM010020 · NLM · NATIONAL LIBRARY OF MEDICINE · PI ROCHMAN, NASH · 2022 to 2022
$649k
NIH HHS Intramural Research Program
6 · The paper itself

Abstract

At the time of this writing, December 2021, potential emergence of vaccine escape variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a grave global concern. The interface between the receptor-binding domain (RBD) of SARS-CoV-2 spike (S) protein and the host receptor (ACE2) overlaps the binding site of principal neutralizing antibodies (NAb), limiting the repertoire of viable mutations. Nonetheless, variants with multiple RBD mutations have risen to dominance. Nonadditive, epistatic relationships among RBD mutations are apparent, and assessing the impact of such epistasis on the mutational landscape, particularly the risk of vaccine escape, is crucial. We employed protein structure modeling using Rosetta to compare the effects of all single mutants at the RBD-NAb and RBD-ACE2 interfaces for the wild type and Delta, Gamma, and Omicron variants. Overall, epistasis at the RBD interface appears to be limited, and the effects of most multiple mutations are additive. Epistasis at the Delta variant interface weakly stabilizes NAb interaction relative to ACE2 interaction, whereas in Gamma, epistasis more substantially destabilizes NAb interaction. Despite bearing many more RBD mutations, the epistatic landscape of Omicron closely resembles that of Gamma. Thus, although Omicron poses new risks not observed with Delta, structural constraints on the RBD appear to hamper continued evolution toward more complete vaccine escape. The modest ensemble of mutations relative to the wild type that are currently known to reduce vaccine efficacy is likely to contain the majority of all possible escape mutations for future variants, predicting the continued efficacy of the existing vaccines.

Indexed as

COVID-19VaccinesAngiotensin-Converting Enzyme 2Antibodies, NeutralizingEpistasis, GeneticHumansPandemicsSARS-CoV-2Spike Glycoprotein, CoronavirusAngiotensin-Converting Enzyme 2Antibodies, NeutralizingSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2VaccinesDelta variantepistasisescape mutantsGamma variantOmicron variantprotein structure modelingRosettaSARS-CoV-2

Identifiers

PMID35289643
PMCPMC9040817

What OpenQuestion holds

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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.