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Ligand binding to proteins: the binding landscape model

D W Miller1, K A Dill

  • 1Graduate Group in Biophysics, University of California at San Francisco 94143-1204, USA.

Protein Science : a Publication of the Protein Society
|October 23, 1997
PubMed
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Ligand binding models often assume specific behaviors, but this study shows ligands can bind denatured states and violate these assumptions. Energy landscapes, not simple mass-action models, better describe ligand-protein interactions.

Area of Science:

  • Biophysics
  • Computational Biology
  • Biochemistry

Background:

  • Traditional ligand binding models rely on assumptions like steric fit, native binding, locality, and continuity.
  • These assumptions simplify the complex interactions between ligands and biological molecules.

Purpose of the Study:

  • To investigate the validity of standard ligand binding assumptions using a generalized 2D HP lattice model.
  • To explore scenarios where these assumptions are violated and understand the underlying mechanisms.

Main Methods:

  • Utilized a generalized 2D HP lattice model to simulate ligand binding.
  • Validated the model by reproducing known binding behaviors such as ligand-induced denaturation and different binding isotherms (Michaelis-Menten, cooperative).

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Main Results:

  • The model successfully replicated typical binding behaviors, including lock-and-key and induced-fit dynamics.
  • Identified violations of standard assumptions: identical ligands yielding different binding modes, and tight binding to denatured states.
  • Observed that low-population binding to denatured states can impact global protein stability and dynamics, aligning with experimental findings.

Conclusions:

  • Ligand binding can deviate significantly from traditional assumptions, particularly regarding binding to non-native states.
  • Energy landscapes provide a more comprehensive framework for understanding ligand-protein interactions than simplified mass-action models.