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Article

Artificial intelligence predicts the immunogenic landscape of SARS-CoV-2 leading to universal blueprints for vaccine designs.

Scientific reports - 23 Dec 2020

Malone Brandon, Simovski Boris, Moliné Clément, Cheng Jun, Gheorghe Marius, Fontenelle Hugues, Vardaxis Ioannis, Tennøe Simen, Malmberg Jenny-Ann, Stratford Richard, Clancy Trevor

Abstract excerpt

The global population is at present suffering from a pandemic of Coronavirus disease 2019 (COVID-19), caused by the novel coronavirus Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The goal of this study was to use artificial intelligence (AI) to predict blueprints for designing universal vaccines against SARS-CoV-2, that contain a sufficiently broad repertoire of T-cell epitopes capable of...

Read the complete abstract on PubMed

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Share to COVID-19 Vaccines
Share to Drug Evaluation, Preclinical

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Epitopes, T-Lymphocyte

Share to Immunogenicity, Vaccine

Share to Machine Learning

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Share to Spike Glycoprotein, Coronavirus

Source

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Identifiers

PMID: 33361777
DOI: 10.1038/s41598-020-78758-5
PMCID: PMC7758335

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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