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Monitoring Protein Adsorption with Solid-state Nanopores
Published on: December 2, 2011
Water properties inside nanoscopic hydrophobic pocket studied by computer simulations
1Biophysics Department, Warsaw University, Zwirki i Wigury 93, 02-089 Warsaw, Poland. piosto@icm.edu.pl
The Journal of Chemical Physics
|October 18, 2006
Summary
Molecular dynamics simulations reveal water density depletion and dynamic pocket occupancy in hydrophobic pockets. Pocket radius influences water behavior, impacting binding site desolvation predictions.
Area of Science:
- Computational chemistry
- Physical chemistry
- Biophysics
Background:
- Understanding water behavior near hydrophobic surfaces is crucial for molecular recognition and drug design.
- Hydrophobic pockets in biological systems influence binding affinities and reaction rates.
- Previous studies often focused on flat hydrophobic surfaces, limiting insights into curved interfaces.
Purpose of the Study:
- To investigate the structure and dynamics of water within an 8 Å radius hemispherical hydrophobic pocket.
- To analyze water density, hydrogen bonding, and residence times spatially.
- To explore the influence of surface curvature on water behavior and pocket occupancy.
Main Methods:
- Molecular dynamics (MD) simulations in the NVT ensemble.
- Projection of water properties onto two-dimensional planes for spatial analysis.
- Analysis of pocket occupancy, density, hydrogen bonding, and residence times.
Main Results:
- Significantly depleted water density within the hydrophobic pocket compared to bulk water.
- Fluctuations between empty and bulk-like fluid states in the pocket, driven by collective water behavior.
- Small free energy differences suggest the pocket radius is near a critical transition point for water phases.
Conclusions:
- Surface curvature significantly alters water behavior near hydrophobic pockets compared to flat surfaces.
- The observed water dynamics and pocket occupancy provide insights into binding site desolvation.
- These findings aid in predicting binding energies more accurately in biological systems.

