• Title of article

    Context-Specific Target Definition in Influenza A Virus Hemagglutinin-Glycan Receptor Interactions Review Article

  • Author/Authors

    Dong Xu، نويسنده , , E. Irene Newhouse، نويسنده , , Rommie E. Amaro، نويسنده , , Hsing C. Pao، نويسنده , , Lily S. Cheng، نويسنده , , Phineus R.L. Markwick، نويسنده , , J. Andrew McCammon، نويسنده , , Wilfred W. Li، نويسنده , , Peter W. Arzberger، نويسنده ,

  • Issue Information
    ماهنامه با شماره پیاپی سال 2009
  • Pages
    12
  • From page
    803
  • To page
    814
  • Abstract
    Protein-glycan interactions are important regulators of a variety of biological processes, ranging from immune recognition to anticoagulation. An important area of active research is directed toward understanding the role of host cell surface glycans as recognition sites for pathogen protein receptors. Recognition of cell surface glycans is a widely employed strategy for a variety of pathogens, including bacteria, parasites, and viruses. We present here a representative example of such an interaction: the binding of influenza A hemagglutinin (HA) to specific sialylated glycans on the cell surface of human upper airway epithelial cells, which initiates the infection cycle. We detail a generalizable strategy to understand the nature of protein-glycan interactions both structurally and biochemically, using HA as a model system. This strategy combines a top-down approach using available structural information to define important contacts between glycans and HA, with a bottom-up approach using data-mining and informatics approaches to identify the common motifs that distinguish glycan binders from nonbinders. By probing protein-glycan interactions simultaneously through top-down and bottom-up approaches, we can scientifically validate a series of observations. This in turn provides additional confidence and surmounts known challenges in the study of protein-glycan interactions, such as accounting for multivalency, and thus truly defines concepts such as specificity, affinity, and avidity. With the advent of new technologies for glycomics—including glycan arrays, data-mining solutions, and robust algorithms to model protein-glycan interactions—we anticipate that such combination approaches will become tractable for a wide variety of protein-glycan interactions.
  • Journal title
    Chemistry and Biology
  • Serial Year
    2009
  • Journal title
    Chemistry and Biology
  • Record number

    1159726