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The Journal of Physical Chemistry. B|July 10, 2007
A coarse-grained protein-protein potential derived from an all-atom force fieldNathalie Basdevant, Daniel Borgis, Tap Ha-Duong
Journal of Chemical Theory and Computation|November 22, 2015
Modeling Protein-Protein Recognition in Solution Using the Coarse-Grained Force Field SCORPIONNathalie Basdevant, Daniel Borgis, Tap Ha-Duong
Journal of Chemical Theory and Computation|December 3, 2015
Particle-Based Implicit Solvent Model for Biosimulations: Application to Proteins and Nucleic Acids HydrationNathalie Basdevant, Tap Ha-Duong, Daniel Borgis
The Journal of Physical Chemistry Letters|May 6, 2017
Electronic Excited State Lifetimes of Anionic Water Clusters: Dependence on Charge Solvation MotifDaniel Borgis, Peter J Rossky, László Turi
Journal of Physics. Condensed Matter : an Institute of Physics Journal|April 27, 2016
Molecular density functional theory of water including density-polarization couplingGuillaume Jeanmairet, Nicolas Levy, Maximilien Levesque, et al.
The Journal of Chemical Physics|November 17, 2015
Solvation free-energy pressure corrections in the three dimensional reference interaction site modelVolodymyr Sergiievskyi, Guillaume Jeanmairet, Maximilien Levesque, et al.
The Journal of Physical Chemistry. B|July 11, 2020
Simple Parameter-Free Bridge Functionals for Molecular Density Functional Theory. Application to Hydrophobic SolvationDaniel Borgis, Sohvi Luukkonen, Luc Belloni, et al.
The Journal of Chemical Physics|February 17, 2020
Hydration free energies and solvation structures with molecular density functional theory in the hypernetted chain approximationSohvi Luukkonen, Maximilien Levesque, Luc Belloni, et al.
The Journal of Chemical Physics|September 10, 2017
Efficient molecular density functional theory using generalized spherical harmonics expansionsLu Ding, Maximilien Levesque, Daniel Borgis, et al.
The Journal of Chemical Physics|January 16, 2025
The orientational structure of a model patchy particle fluid: Simulations, integral equations, density functional theory, and machine learningAlessandro Simon, Luc Belloni, Daniel Borgis, et al.
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