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Improving Statistical Certainty of Glycosylation Similarity between Influenza A Virus Variants Using Data-Independent Acquisition Mass Spectrometry.
Chang, Deborah; Klein, Joshua; Hackett, William E; Nalehua, Mary Rachel; Wan, Xiu-Feng; Zaia, Joseph.
Afiliação
  • Chang D; Department of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University School of Medicine, Boston, Massachusetts, USA.
  • Klein J; Boston University Bioinformatics Program, Boston University, Boston, Massachusetts, USA.
  • Hackett WE; Boston University Bioinformatics Program, Boston University, Boston, Massachusetts, USA.
  • Nalehua MR; Boston University Bioinformatics Program, Boston University, Boston, Massachusetts, USA.
  • Wan XF; Center for Influenza and Emerging Infectious Diseases, University of Missouri, Columbia, Missouri, USA; Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, Missouri, USA; Department of Electrical Engineering & Computer Science, College of En
  • Zaia J; Department of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University School of Medicine, Boston, Massachusetts, USA; Boston University Bioinformatics Program, Boston University, Boston, Massachusetts, USA. Electronic address: jzaia@bu.edu.
Mol Cell Proteomics ; 21(11): 100412, 2022 11.
Article em En | MEDLINE | ID: mdl-36103992

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Vírus da Influenza A / Vacinas contra Influenza / Influenza Humana / Vírus da Influenza A Subtipo H1N1 Limite: Animals / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Vírus da Influenza A / Vacinas contra Influenza / Influenza Humana / Vírus da Influenza A Subtipo H1N1 Limite: Animals / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article