A Deep-learning based method for the prediction of Residue solvent Exposure starting from protein sequence
Standalone version and training sets
Both the training set and the blind test set are available as a tsv file made of 5 columns where each row corresponds to a single residue. The columns store in order: the pdb id; the position; the residue type; the classification (Buried/Exposed); the rsa. Inside the cross_validation folder you will find 10 files (split0-split9), each containing the pdb ids belonging to the corresponding subset used in cross-validation.