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Updated: Mar 18, 2026
14:44
Structure and Coordination Determination of Peptide-metal Complexes Using 1D and 2D 1H NMR
Published on: December 16, 2013
10.1K
Thermodynamically-Weighted Conformational Ensemble of Cyclic RGD Peptidomimetics from NOE Data
F Vasile1, M Civera1, L Belvisi1
1Department of Chemistry, Università degli Studi di Milano , via Golgi 19, 20133 Milano, Italy.
The Journal of Physical Chemistry. B
|July 9, 2016
Summary
This study introduces a new method using molecular dynamics to better model flexible molecules, revealing how conformational differences affect binding affinity in integrin ligands.
Area of Science:
- Molecular biology
- Computational chemistry
- Structural biology
Background:
- Standard methods for analyzing flexible molecules often oversimplify their conformational diversity.
- Nuclear Overhauser Effect (NOE) intensities provide crucial spatial information but require sophisticated interpretation.
Purpose of the Study:
- To develop an advanced computational approach for modeling the conformational ensembles of flexible molecules.
- To investigate the relationship between conformational dynamics and binding affinity in peptidomimetic ligands.
Main Methods:
- Utilized triplicate NOE intensity data for enhanced accuracy.
- Employed an iterative molecular dynamics scheme to optimize a force field.
- Generated a Boltzmann-weighted ensemble of conformations consistent with experimental data.
Main Results:
- The optimized force field successfully generated conformational ensembles reflecting experimental NOE data.
- The method was applied to two cyclic peptidomimetic integrin ligands.
- Differences in binding affinity between the ligands were correlated with their distinct conformational fluctuations.
Conclusions:
- The developed iterative molecular dynamics approach provides a more comprehensive representation of molecular conformations.
- Conformational flexibility and dynamics play a critical role in determining ligand-receptor binding affinity.
- This method offers improved insights into molecular recognition mechanisms for flexible ligands.
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