Bioinformatics analysis of the s2m mutations within the SARS-CoV-2 Omicron lineages.

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Bibliographic Details
Title: Bioinformatics analysis of the s2m mutations within the SARS-CoV-2 Omicron lineages.
Authors: Frye CJ; Department of Chemistry & Biochemistry, Duquesne University, Pittsburgh, Pennsylvania, USA., Shine M; Department of Biochemistry & Chemistry, Westminster College, New Wilmington, Pennsylvania, USA., Makowski JA; Department of Chemistry & Biochemistry, Duquesne University, Pittsburgh, Pennsylvania, USA., Kensinger AH; Department of Chemistry & Biochemistry, Duquesne University, Pittsburgh, Pennsylvania, USA., Cunningham CL; Department of Chemistry & Biochemistry, Duquesne University, Pittsburgh, Pennsylvania, USA., Milback EJ; Department of Chemistry & Biochemistry, Duquesne University, Pittsburgh, Pennsylvania, USA., Evanseck JD; Department of Chemistry & Biochemistry, Duquesne University, Pittsburgh, Pennsylvania, USA., Lackey PE; Department of Biochemistry & Chemistry, Westminster College, New Wilmington, Pennsylvania, USA., Mihailescu MR; Department of Chemistry & Biochemistry, Duquesne University, Pittsburgh, Pennsylvania, USA.
Source: Journal of medical virology [J Med Virol] 2023 Jan; Vol. 95 (1), pp. e28141. Date of Electronic Publication: 2022 Sep 21.
Publication Type: Letter; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Wiley-Liss Country of Publication: United States NLM ID: 7705876 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1096-9071 (Electronic) Linking ISSN: 01466615 NLM ISO Abbreviation: J Med Virol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1096-9071
DOI:10.1002/jmv.28141