 |
Journal articles
Predicting Hydration Free Energies of the FreeSolv Database of Drug-like Molecules with Molecular Density Functional Theory
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.
https://hal-cea.archives-ouvertes.fr/cea-02909000
Contributor : Serge Palacin Connect in order to contact the contributor
Submitted on : Wednesday, July 29, 2020 - 5:21:18 PM
Last modification on : Friday, October 15, 2021 - 1:41:36 PM
Contributor : Serge Palacin Connect in order to contact the contributor
Submitted on : Wednesday, July 29, 2020 - 5:21:18 PM
Last modification on : Friday, October 15, 2021 - 1:41:36 PM
Links full text
