Paste in sequence data (maximum 500 sequences)

or upload sequence data

Valid format examples: Fasta

All sequences must be submitted in amino acid format and have a unique sequence id!

Beta-turn type prediction

Type I
Type I' Type II Type II' Type IV
Type VIII Type VIb Type VIa1 Type VIa2

Additional settings

Use Cut-off Tweak

Instructions: Paste in or upload the input file and make sure to select correct format by checking the radio button.

Please read the DTU Health Tech access policies for information about limitations on the daily number of submissions.


For publication of results, please cite:

NetTurnP - Neural Network Prediction of Beta-turns by Use of Evolutionary Information and Predicted Protein Sequence Features.
Petersen B, Lundegaard C, Petersen TN (2010)
PLoS ONE 5(11):e15079 doi:10.1371/journal.pone.0015079

The electronic version of this article is found here: download


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