• Title of article

    ATP Binding Enables Broad Antibiotic Selectivity of Aminoglycoside Phosphotransferase(3′)-IIIa: An Elastic Network Analysis

  • Author/Authors

    Silke A. Wieninger، نويسنده , , Engin H. Serpersu، نويسنده , , Jeremy C. Smith and G. Matthias Ullmann، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2011
  • Pages
    16
  • From page
    450
  • To page
    465
  • Abstract
    The bacterial enzyme aminoglycoside phosphotransferase(3′)-IIIa (APH) confers resistance against a wide range of aminoglycoside antibiotics. In this study, we use the Gaussian network model to investigate how the binding of nucleotides and antibiotics influences the dynamics and thereby the ligand binding properties of APH. Interestingly, in NMR experiments, the dynamics differ significantly in various APH complexes, although crystallographic studies indicate that no larger conformational changes occur upon ligand binding. Isothermal titration calorimetry also shows different thermodynamic contributions to ligand binding. Formation of aminoglycoside–APH complexes is enthalpically driven, while the enthalpic change upon aminoglycoside binding to the nucleotide–APH complex is much smaller. The differential effects of nucleotide binding and antibiotic binding to APH can be explained theoretically by single-residue fluctuations and correlated motions of the enzyme. The surprising destabilization of β-sheet residues upon nucleotide binding, as seen in hydrogen/deuterium exchange experiments, shows that the number of closest neighbors does not fully explain residue flexibility. Additionally, we must consider correlated motions of dynamic protein domains, which show that not only connectivity but also the overall protein architecture is important for protein dynamics.
  • Keywords
    Antibiotic resistance , ligand binding , dynamic protein domains , conformational frustration , normal-mode analysis
  • Journal title
    Journal of Molecular Biology
  • Serial Year
    2011
  • Journal title
    Journal of Molecular Biology
  • Record number

    1253816