Fig. 2
From: PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility
The framework of PredRSA for protein relative solvent accessibility prediction. Five different types of sequence-derived features are generated and used as input to build the GBRT model. These features consist of PSSM in the form of PSI-BLAST profiles, predicted secondary structure information by PSIPRED, predicted native disorder information by DISOPRED, conservation score and side-chain environment