Protein–protein interactions (PPIs) are essential,
and modulating
their function through PPI-targeted drugs is an important research
field. PPI sites are shallow protein surfaces readily accessible to
the solvent, thus lacking a proper pocket to fit a drug, while their
lack of endogenous ligands prevents drug design by chemical similarity.
The development of PPI-blocking compounds is, therefore, a tough challenge.
Mixed solvent molecular dynamics has been shown to reveal protein–ligand
interaction hot spots in protein active sites by identifying solvent
sites (SSs). Furthermore, our group has shown that SSs significantly
improve protein–ligand docking. In the present work, we extend
our analysis to PPI sites. In particular, we analyzed water, ethanol,
and phenol-derived sites in terms of their capacity to predict protein–drug
and protein–protein interactions. Subsequently, we show how
this information can be incorporated to improve both protein–ligand
and protein–protein docking. Finally, we highlight the presence
of aromatic clusters as key elements of the corresponding interactions.