A generalized Kirkwood implicit solvent for the polarizable AMOEBA protein model
Rae A Corrigan1, Andrew C Thiel1, Jack R Lynn1
1Roy J. Carver Department of Biomedical Engineering, The University of Iowa, Iowa City, Iowa 52242, USA.
The Journal of Chemical Physics
|August 1, 2023
Summary
This study enhances implicit solvent models for biomolecular simulations, improving accuracy for protein design and folding. The new AMOEBA/GK model accurately captures solvation effects, enabling reliable simulations on longer timescales.
Area of Science:
- Computational chemistry
- Biomolecular modeling
- Physical chemistry
Background:
- Accurate solvent treatment is crucial for biomolecular simulations.
- Explicit solvent models are computationally expensive.
- Implicit solvent models offer a cost-effective alternative.
Purpose of the Study:
- To extend the Generalized Kirkwood (GK) implicit solvent model for biomolecules using the AMOEBA force field.
- To improve the accuracy of implicit solvation for protein design and binding interactions.
Main Methods:
- Parameterization of the GK model with corrections for interstitial spaces in biomolecules.
- Inclusion of element-specific descreening factors and short-range contributions.
- Application of the AMOEBA/GK model to ten protein simulations.
Main Results:
- Achieved an average coordinate root mean square deviation of 2.0 Å for experimental protein structures.
- Successfully simulated ten proteins over 500 ns.
- Demonstrated the model's ability to capture solvation effects accurately.
Conclusions:
- The developed AMOEBA/GK implicit solvent model enhances biomolecular simulations.
- This advancement facilitates simulations of biomolecules on mechanistically relevant timescales.
- Continued development of implicit solvent models is vital for computational biology.
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