An improved simple polarisable water model for use in biomolecular simulation
Stephan J Bachmann1, Wilfred F van Gunsteren1
1Laboratory of Physical Chemistry, ETH Zürich, CH-8093 Zürich, Switzerland.
The Journal of Chemical Physics
|December 16, 2014
Summary
A new water model, COS/D2, improves biomolecular simulations by accurately representing water's polarization response. This cost-effective and realistic model enhances the solvation of complex biomolecules like proteins.
Area of Science:
- Computational chemistry
- Biomolecular modeling
- Physical chemistry
Background:
- Accurate biomolecular simulations require precise water models for solvation.
- Existing polarizable water models (COS/G2, COS/D) compatible with GROMOS force fields have limitations in dielectric permittivity and dynamics.
- Biomolecules exhibit electrostatic inhomogeneity, necessitating water models that capture polarization effects.
Purpose of the Study:
- To develop and evaluate a new polarizable water model, COS/D2, for improved biomolecular solvation.
- To address the shortcomings of previous COS/G2 and COS/D models.
- To create a computationally efficient yet accurate water model for biomolecular simulations.
Main Methods:
- Development of the COS/D2 model with four interaction sites: one Lennard-Jones site (oxygen) and three permanent charge sites (hydrogens and a massless off-atom site).
- The off-atom site functions as a charge-on-spring (COS) polarizable site with damped field dependence.
- Compatibility with GROMOS biomolecular force fields was maintained.
Main Results:
- The COS/D2 model demonstrates a more accurate dielectric permittivity compared to COS/G2.
- It exhibits improved dynamics compared to the COS/D model.
- The model effectively captures the polarization response crucial for inhomogeneous biomolecular systems.
Conclusions:
- The COS/D2 model offers a cost-effective and realistic solution for biomolecular solvation.
- It represents a significant improvement over previous COS models for biomolecular simulations.
- This model enhances the accuracy of simulating proteins and other electrostatically complex biomolecules.
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