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Explicit Solvent Hydration Benchmark for Proteins with Application to the PBSA Method.

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  • 1Centre of New Technologies, University of Warsaw , Banacha 2c, 02-097 Warsaw, Poland.

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Explicit and implicit solvent models accurately predict protein hydration free energies. Comparing explicit models (TIP3P, SPC/E) and implicit models reveals explicit methods offer better consistency for protein hydration calculations.

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Area of Science:

  • Computational chemistry
  • Biophysics
  • Molecular modeling

Background:

  • Explicit and implicit solvent models are established for small molecule hydration.
  • Protein hydration free energy calculations remain challenging, with limited data on model consistency and accuracy.
  • Understanding protein hydration is crucial for drug discovery and molecular simulations.

Purpose of the Study:

  • To analyze hydration free energy changes in diverse proteins using explicit solvent models.
  • To compare the quantitative consistency of different solvent models for protein hydration.
  • To evaluate the accuracy of implicit solvent models against explicit simulations.

Main Methods:

  • Extensive explicit solvent simulations using TIP3P and SPC/E water models.
  • Analysis of hydration free energy changes for five diverse protein conformations.
  • Comparison with implicit solvent models based on Poisson equation and surface/volume terms.
  • Determination of optimal protein dielectric constant and dielectric boundary models.

Main Results:

  • Explicit models (TIP3P, SPC/E) show better agreement for electrostatic than nonpolar contributions.
  • Finite size corrections are significant for relative protein hydration free energies under periodic boundary conditions.
  • Implicit solvent models exhibit significantly less consistency compared to explicit models.

Conclusions:

  • Explicit solvent models provide a more reliable approach for protein hydration free energy calculations.
  • Implicit solvent models require further refinement for accurate protein hydration predictions.
  • Accurate modeling of protein hydration is essential for advancing computational biology and drug design.