DREAMM is a novel machine learning tool that predicts the protein-membrane interfaces of peripheral membrane proteins.
DREAMM is a novel machine learning tool that predicts the protein-membrane interfaces of peripheral membrane protein, and optionally predicts binding sites near the predicted membrane-penetrating residues in protein conformational ensembles. As an output, the user can retrieve the membrane-penetrating residues in a .csv file and if the user's choice was to predict binding sites, a .zip file will be downloaded including the abovementioned .csv file, the binding pocket predictions, the visualizations, and summarized the binding site clustering results.
Soranou Ephesiou 4, 11527 Athens, Greece (EL)
Soranou Ephesiou 4, 11527 Athens, Greece (EL)
TRL9
Zoe
Cournia,
Associate Professor
email: zcournia@bioacademy.gr
phone: +302106597195