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A schematic model for molecular affinity and binding with Ising variables.

F Thalmann1

  • 1Institut Charles Sadron, Université de Strasbourg, CNRS UPR 22, 23 rue du Loess, BP 84047, F-67034 Strasbourg Cedex, France. thalmann@ics.u-strasbg.fr

The European Physical Journal. E, Soft Matter
|May 20, 2010
PubMed
Summary

Statistical physics models ligand-receptor binding using an Ising chain. Ligand stiffness and receptor flexibility influence binding affinity, revealing potential for information encoding in molecular rigidity.

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Area of Science:

  • Statistical physics
  • Biophysics
  • Computational chemistry

Background:

  • Molecular recognition is crucial for biological processes.
  • Understanding ligand-receptor interactions is key to drug discovery.
  • Statistical physics offers powerful tools for analyzing molecular systems.

Purpose of the Study:

  • To develop a schematic model for ligand-receptor association using statistical physics.
  • To investigate the impact of ligand stiffness and receptor flexibility on binding affinity.
  • To explore the potential for encoding information in molecular rigidity profiles.

Main Methods:

  • A schematic model based on an Ising chain was developed for ligand-receptor association.
  • The model was used to analyze binding affinity as a function of ligand stiffness.
  • Flexible receptors and selectivity patterns were also studied.

Main Results:

  • Ligand stiffness significantly modulates binding affinity, with effects dependent on the rigidity profile.
  • Flexible receptors exhibit diverse behaviors, including affinity changes with bond hardening or softening.
  • Selectivity patterns for short sequences (n < 8) were exhaustively studied.

Conclusions:

  • Binding affinity is sensitive to the detailed rigidity profile of the ligand.
  • Molecular rigidity, in addition to shape, may encode information for recognition.
  • Connections to spin models, like spin glasses, are relevant for future research.