Jpred itself is just a Protein Secondary Structure Prediction server, which exists since 1998 in different versions. JPred predicts Solvent Accessibility and Coiled-coil regions with the Lupas method and the secondary structure with the Jnet algorithm.
|Author||James A. Cuff, Geoffrey J. Barton|
|ML Method||Neural Network|
Jnet uses two neural networks for its prediction. The first network is feeded with a window of 17 residues over each amino acid in the alignment plus a conservation number. It uses a hidden layer of nine nodes and has three output nodes, one for each secondary structure element.
The second network is feeded with a window of 19 residues (the result of first network) plus the conservation number. It has a hidden layer with nine nodes and has three output nodes.