Abstract

The main goal of molecular simulation is to accurately predict experimental observables of molecular systems. Another long-standing goal is to devise models for arbitrary neutral organic molecules with little or no reliance on experimental data. While separately these goals have been met to various degrees, for an arbitrary system of molecules they have not been achieved simultaneously. For biophysical ensembles that exist at room temperature and pressure, and where the entropic contributions are on par with interaction strengths, it is the free energies that are both most important and most difficult to predict. We compute the free energies of solvation for a diverse set of neutral organic compounds using a polarizable force field fitted entirely to ab initio calculations. The mean absolute errors (MAE) of hydration, cyclohexane solvation, and corresponding partition coefficients are 0.2 kcal/mol, 0.3 kcal/mol and 0.22 log units, i.e. within chemical accuracy. The model (ARROW FF) is multipolar, polarizable, and its accompanying simulation stack includes nuclear quantum effects (NQE). The simulation tools’ computational efficiency is on a par with current state-of-the-art packages. The construction of a wide-coverage molecular modelling toolset from first principles, together with its excellent predictive ability in the liquid phase is a major advance in biomolecular simulation.

Highlights

  • The main goal of molecular simulation is to accurately predict experimental observables of molecular systems

  • A description of the intermolecular functional form, the component decomposition, and the parametrization procedure is in Supplementary methods (Quantum mechanical details, force field description, force field functional form of ARROW FF, and parameter fitting), Supplementary Fig. 1 and in references[8,13]

  • One of the contributions of this work is determining the degree of faithfulness that is sufficient for modeling the liquid phase of arbitrary organic molecules and mixtures while keeping the model complexity manageable

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Summary

Introduction

The main goal of molecular simulation is to accurately predict experimental observables of molecular systems. We have implemented a QM-parametrized force field in a simulation stack that covers arbitrary organic molecules and predicts solvation free energies of molecular systems to accuracy of ~0.3 kcal/mol for neutral species.

Results
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