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Codon usage, phylogeny and binding energy estimation predict the evolution of SARS-CoV-2

Matteo Calcagnile1, Tiziano Verri1, Maurizio Salvatore Tredici1

  • 1Department of Biological and Environmental Sciences and Technologies, University of Salento, Via Monteroni, 73100 Lecce, Italy.

One Health (Amsterdam, Netherlands)
|November 29, 2021
PubMed

Keywords:
ACE2ACE2 phylogenyAnimal hostB.1.1.7 (alpha) SARS-CoV-2 variant B.1.351 (Beta) SARS-CoV-2 variantB.1.617.2 (delta) SARS-CoV-2 variantCodon usageDockingMolecular evolutionSARS-CoV-2

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