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Article

Epistatic models predict mutable sites in SARS-CoV-2 proteins and epitopes.

Proceedings of the National Academy of Sciences of the United States of America - 25 Jan 2022

Rodriguez-Rivas Juan, Croce Giancarlo, Muscat Maureen, Weigt Martin

Abstract excerpt

The emergence of new variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a major concern given their potential impact on the transmissibility and pathogenicity of the virus as well as the efficacy of therapeutic interventions. Here, we predict the mutability of all positions in SARS-CoV-2 protein domains to forecast the appearance of unseen variants. Using sequence data from other...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 35022216
DOI: 10.1073/pnas.2113118119
PMCID: PMC8795541

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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