Thermodynamically-Weighted Conformational Ensemble of Cyclic RGD Peptidomimetics from NOE Data

J Phys Chem B. 2016 Jul 28;120(29):7098-107. doi: 10.1021/acs.jpcb.6b04941. Epub 2016 Jul 15.

Abstract

In the case of flexible molecules, the standard approach of transforming NOE intensities into spatial restraints and of building conformational models minimizing these restraints greatly neglects the richness of molecular conformations. Making use of NOE intensities measured in triplicate and of an iterative molecular-dynamics scheme, we optimized a force field to generate a set of conformations whose ensemble is compatible with the experimental data, and is weighted according to the Boltzmann distribution. This scheme is applied to two cyclic peptidomimetic ligands of integrins. Their difference in binding affinity is recapitulated in terms of their difference in conformational fluctuations.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Binding Sites
  • Ligands
  • Molecular Docking Simulation
  • Molecular Dynamics Simulation
  • Nuclear Magnetic Resonance, Biomolecular
  • Peptides, Cyclic / chemistry*
  • Peptidomimetics / chemistry*
  • Protein Conformation
  • Protein Subunits / chemistry
  • Protein Subunits / metabolism
  • Snake Venoms / chemistry
  • Snake Venoms / metabolism
  • Thermodynamics

Substances

  • Ligands
  • Peptides, Cyclic
  • Peptidomimetics
  • Protein Subunits
  • Snake Venoms
  • cyclic arginine-glycine-aspartic acid peptide
  • Cilengitide