New Soft-Core Potential Function for Molecular Dynamics Based Alchemical Free Energy Calculations

Area of Science:

• Computational chemistry
• Biophysics
• Molecular modeling

Background:

• Accurate free energy calculations are crucial for rational drug design and protein engineering.
• Alchemical free energy calculations using molecular dynamics (MD) simulations often employ thermodynamic integration.
• These methods require soft-core potentials to manage singularities during particle introduction/annihilation in alchemical transitions.

Purpose of the Study:

• To develop a novel soft-core potential formulation for nonequilibrium free energy calculations.
• To address singularities, numerical instabilities, and potential energy minima in alchemical transitions.
• To provide a general-purpose solution for robust and accurate alchemical free energy calculations.

Main Methods:

• Proposed a new soft-core potential formulation for MD simulations.
• Applied the novel potential in nonequilibrium free energy calculations.
• Validated the method across various applications including thermodynamic cycles, protein thermostability, solvation free energies, and binding free energies.

Main Results:

• The novel soft-core function effectively alleviates singularities and numerical instabilities.
• Demonstrated robustness and accuracy in diverse alchemical free energy calculations.
• Successfully applied to thermodynamic cycles, protein mutation effects, ligand solvation, and protein-ligand binding free energies.

Conclusions:

• The proposed soft-core potential offers a significant improvement for alchemical free energy calculations.
• It provides a robust and accurate general-purpose solution for computational chemistry and biophysics.
• Enhances the reliability of molecular dynamics simulations in drug design and protein engineering.