Prediction of protein-mannose binding sites using random forest

Mannose is an abundant cell surface monosaccharide and has an important role in many biochemical processes. It binds to a greatdiversity of receptor proteins. In this study we have employed Random Forest for prediction of mannose binding sites. Mannosebindingsite is taken to be a sphere around the centroid of the ligand and the sphere is subdivided into different layers and atomwise and residue wise features were extracted for each layer. The method achieves 95.59 % of accuracy using Random Forest with10 fold cross validation. Prediction of mannose binding site analysis will be quite useful in drug design.