Sequence based prediction of relative solvent accessibility using two-stage support vector regression with confidence values
Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=7#.VNMsPyzQrzE Author(s) Ke Chen , Michal Kurgan , Lukasz Kurgan Affiliation(s) Department of Electrical and Computer Engineering, University of Alberta, T6G 2V4, Edmonton, CANADA. . Department of Electrical and Computer Engineering, University of Alberta, T6G 2V4, Edmonton, CANADA. . Department of Electrical and Computer Engineering, University of Alberta, T6G 2V4, Edmonton, CANADA. . ABSTRACT Predicted relative solvent accessibility (RSA) provides useful information for prediction of binding sites and reconstruction of the 3D-structure based on a protein sequence. Recent years observed development of several RSA prediction methods including those that generate real values and those that predict discrete states (buried vs. exposed). We propose a novel method for real value prediction that aims at minimizing the prediction error when compared with six ...