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Metadynamics combined with auxiliary density functional and density functional tight-binding methods: alanine
Jerome Cuny1, Kseniia Korchagina1, Chemseddine Menakbi2
1Laboratoire de Chimie et Physique Quantiques (LCPQ), Université de Toulouse III [UPS] and CNRS, 118 Route de Narbonne, 31062, Toulouse, France.
Efficient density functional tight-binding (DFTB) methods accurately model free energy surfaces (FES) for molecular dynamics, offering a computationally feasible alternative to auxiliary density functional theory (ADFT) for complex systems.
Area of Science:
- Computational Chemistry
- Theoretical Chemistry
- Molecular Dynamics
Background:
- Studying free energy surfaces (FES) using ab initio molecular dynamics is computationally intensive, often requiring simulations exceeding hundreds of picoseconds.
- Efficient density functional theory (DFT) formalisms have been developed to overcome these computational limitations.
Purpose of the Study:
- To benchmark auxiliary density functional theory (ADFT) and density functional tight-binding (DFTB) methods for calculating the conformational change FES of alanine dipeptide.
- To assess the feasibility of using DFTB for FES studies in explicit water solvent.
Main Methods:
- Metadynamics simulations coupled with ADFT and DFTB (second- and third-order).
- Comparison of simulation lengths, free energy differences, and energy barriers between methods.
- Inclusion of explicit water solvent effects using the computationally less expensive DFTB method.
Main Results:
- Achieved simulation lengths of 2.1 ns (ADFT) and 15 ns (DFTB) in reasonable computational time.
- ADFT yielded a free energy difference (ΔFeq-ax) of ~-3 kcal/mol, while DFTB yielded a comparable value ~1.5 kcal/mol lower.
- Energy barriers calculated by ADFT were higher by 2-4 kcal/mol compared to DFTB, with both methods showing good agreement in FES shapes and stationary point properties.
Conclusions:
- DFTB provides a computationally efficient and accurate approach for studying FES, comparable to ADFT.
- DFTB is a promising method for FES investigations of larger systems in complex environments, including explicit solvent effects.
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