The GammaPred server predicts the gamma turn residues in the given protein sequence. The method is based on the neural network training on PSI-BLAST generated position specific matrices and PSIPRED predicted secondary structure. Two neural networks with a single hidden layer have been used where the first sequence-to-structure network is trained on PSI-BLAST obtained position specific matrices. The filtering has been done by second structure-to-structure network trained on output of first net and PSIPRED predicted secondary structure. The training has been carried out using error backpropagation with a sum of square error function(SSE).
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Kaur, H. and Raghava, G.P.S. (2003)
A neural network based method for prediction of gamma-turns in proteins from multiple sequence alignment.
Protein Science 12: 923-929.