Harmonic Force Constants for Molecular Mechanics Force Fields via Hessian Matrix Projection
Alice E A Allen1, Michael C Payne1, Daniel J Cole2
1TCM Group, Cavendish Laboratory , 19 JJ Thomson Avenue, Cambridge CB3 0HE, United Kingdom.
Journal of Chemical Theory and Computation
|November 22, 2017
Summary
A modified Seminario method accurately derives molecular mechanics force field parameters from quantum mechanics, reducing frequency reproduction errors by 50%. This automated approach enhances protein force field development.
Area of Science:
- Computational Chemistry
- Molecular Modeling
- Quantum Chemistry
Background:
- Molecular mechanics force fields require accurate parameters for bond and angle properties.
- Existing methods for parameter derivation can be complex and interdependent.
- The Seminario method offers a route from quantum mechanics to force field parameters.
Purpose of the Study:
- To propose a modification to the Seminario method for deriving accurate harmonic bond and angle molecular mechanics force field parameters.
- To automate the parameter derivation process directly from quantum mechanical data.
- To provide a comprehensive set of parameters for amino acids to aid protein force field development.
Main Methods:
- Modification of the Seminario method to utilize the quantum mechanical Hessian matrix.
- Direct computation of bond and angle parameters from quantum mechanical data.
- Automation of the entire parameter calculation process.
Main Results:
- Reduced average error in reproducing quantum mechanical normal-mode frequencies from 12.3% to 6.3% for 70 benchmark molecules.
- Achieved full automation of the parameter derivation process.
- Eliminated interdependency between bond, angle, and other force field parameters.
Conclusions:
- The modified Seminario method provides a more accurate and automated approach to deriving molecular mechanics force field parameters.
- This method enhances the reliability of parameters used in molecular simulations.
- The provided amino acid parameters will facilitate future advancements in protein force field development.
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