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Updated: Dec 17, 2025

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Predicting Hydration Free Energies of the FreeSolv Database of Drug-like Molecules with Molecular Density Functional
Sohvi Luukkonen1, Luc Belloni2, Daniel Borgis1,3
1Maison de la Simulation, CNRS-CEA-Université Paris-Saclay, Gif-sur-Yvette 91191, France.
Abstract:
We assess the performance of molecular density functional theory (MDFT) to predict hydration free energies of the small drug-like molecules benchmark, FreeSolv. The MDFT in the hypernetted chain approximation (HNC) coupled with a pressure correction predicts experimental hydration free energies of the FreeSolv database within 1 kcal/mol with an average computation time of 2 cpu·min per molecule. This is the same accuracy as for simulation-based free energy calculations that typically require hundreds of cpu·h or tens of gpu·h per molecule.
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