Predicts relative solvent accessible surface area (RSA) of residues. PredRSA integrates gradient boosted regression trees (GBRT) algorithm with multiple sequence-based features and a global side-chain environment feature. It uses a variety of multiple sequence-derived features, including the position specific scoring matrices and conservation score in the form of PSI-BLAST profiles, predicted secondary structure and natively disordered region.
School of Software, Central South University, Changsha, China; Shanghai Key Laboratory of Intelligent Information Processing, Shanghai, China
PredRSA funding source(s)
Supported by National Natural Science Foundation of China under grants No. 61309010 and No. 61379057, China Postdoctoral Science Foundation under grant no. 2015T80886, Specialized Research Fund for the Doctoral Program of Higher Education of China under grant no. 20130162120073 and Shanghai Key Laboratory of Intelligent Information Processing under grant no. IIPL-2014-002.