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Published on: July 19, 2019
Hybrid QM/MM Molecular Dynamics with AMOEBA Polarizable Embedding
Daniele Loco1, Louis Lagardère2, Stefano Caprasecca1
1Dipartimento di Chimica e Chimica Industriale, Università di Pisa , via G. Moruzzi 13, I-56124 Pisa, Italy.
We developed a new hybrid quantum mechanics/molecular mechanics (QM/MM) method for molecular dynamics (MD) simulations. This approach enables stable, energy-conserving simulations using polarizable force fields, advancing computational chemistry.
Area of Science:
- Computational Chemistry
- Molecular Dynamics
- Quantum Mechanics/Molecular Mechanics (QM/MM)
Background:
- Accurate molecular dynamics (MD) simulations require sophisticated methods to model complex chemical systems.
- Hybrid quantum mechanics/molecular mechanics (QM/MM) approaches are essential for studying systems where electronic effects are crucial.
- Polarizable force fields, like AMOEBA, offer improved accuracy but pose computational challenges in QM/MM MD.
Purpose of the Study:
- To implement and evaluate a Born-Oppenheimer (BO) hybrid QM/MM MD strategy.
- To couple density functional theory (DFT) with the polarizable AMOEBA force field for enhanced simulation accuracy.
- To assess the stability and energy conservation of different BO formalisms in QM/MM MD.
Main Methods:
- Implementation of a BO hybrid QM/MM MD strategy linking Gaussian (for DFT) and Tinker (for AMOEBA) programs.
- Utilized a variational formalism for self-consistent relaxation of AMOEBA induced dipoles and DFT electron density.
- Compared the time-reversible BO (TR-BO) and extended BO Lagrangian (XL-BO) approaches for MD propagation.
Main Results:
- The extended BO Lagrangian (XL-BO) approach demonstrated stable, energy-conserving trajectories in QM/MM MD simulations.
- The coupling scheme allowed for full self-consistent relaxation of both electronic density and polarizable force field parameters.
- Computational efficiency was primarily limited by the DFT self-consistent field (SCF) cycles.
Conclusions:
- The XL-BO approach provides a robust and stable method for QM/MM MD simulations employing polarizable force fields.
- This implementation opens new avenues for accurate simulations of complex chemical and biological systems.
- The developed strategy enhances the capabilities of hybrid QM/MM methods in computational molecular science.
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