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Article

Tracking SARS-CoV-2 Spike Protein Mutations in the United States (January 2020-March 2021) Using a Statistical Learning Strategy.

Viruses - 21 Dec 2021

Zhao Lue Ping, Lybrand Terry P, Gilbert Peter B, Hawn Thomas R, Schiffer Joshua T, Stamatatos Leonidas, Payne Thomas H, Carpp Lindsay N, Geraghty Daniel E, Jerome Keith R

Abstract excerpt

The emergence and establishment of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of interest (VOIs) and variants of concern (VOCs) highlight the importance of genomic surveillance. We propose a statistical learning strategy (SLS) for identifying and spatiotemporally tracking potentially relevant Spike protein mutations. We analyzed 167,893 Spike protein sequences from coronavirus disease...

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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: 35062214
DOI: 10.3390/v14010009
PMCID: PMC8777887

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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