QUBEKit

QUBEKit automates derivation of force field parameters for small organic molecules from quantum mechanical (QM) calculations to produce system-specific parameters for molecular simulations.

Key Features:

• Automation: Automates the derivation of force field parameters from QM calculations.
• Full parameter set derivation: Re-derives a complete set of force field parameters for individual small organic molecules.
• Quantum mechanics integration: Employs quantum mechanical parameter derivation methodologies to generate molecule-specific parameters.
• Virtual site derivation: Determines positions and charges of off-center virtual sites to capture anisotropic and complex atomic interactions.
• Implementation: Implemented in Python.
• Benchmark performance: Reported mean unsigned errors of 0.024 g/cm³ for liquid density, 0.79 kcal/mol for heat of vaporization, and 1.17 kcal/mol for free energy of hydration in comparative studies.

Scientific Applications:

• Molecular modeling: Generates system-specific force field parameters to improve accuracy of molecular dynamics and related simulations of small organic molecules.
• Computer-aided drug design: Provides bespoke parameters for predicting behavior and interactions of potential therapeutic compounds.

Methodology:

Re-derivation of complete force field parameter sets for 109 small organic molecules using quantum mechanical calculations, with validation by comparison of computed liquid properties (density, heat of vaporization, free energy of hydration) against experimental data.