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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).

For detailed methodology and further information, see the GammaPred documentation and Help file.

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Usage: Paste your sequence in the textarea provided or upload the file containing the sequence in one of the supported formats into the sequence field below:
and press the "Run Prediction" button.
Make sure that the format button (next to the sequence field) shows the correct format.
Please enter your e-mail address if you want to receive the results via e-mail.

Query title (optional)
Input sequence format	Plain Text Fasta Format
Query sequence: (see above for all valid formats) OR Upload Sequence file
Please enter your E-mail address:

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