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NetTurnP 1.0 - Prediction of Beta-turn regions in protein sequences

Beta-turns are the most common type of non-repetitive structures, and constitute on average 25% of the residues in all protein chains. The formation of Beta-turns plays an important role in protein folding, protein stability and molecular recognition processes. A high correlation between the tendency for a sequence to form a Beta-turn and the proteins reactivity to antipeptide antibodies has been discovered, and furthermore it has been shown that there is an overrepresentation of Beta-turns in B-cell epitopes. In the area of protein-protein interactions, the formation of Beta-turns types I and II has been indicated to be essential for high-affinity binding to SH2-domains.
NetTurnP predicts if an amino acid is located in a Beta-turn or not. Optional, NetTurnP is also able to predict the nine Beta-turn subtypes.

If you mouse-over the options, you will get a short explanation box. For a more detailed explanation, please refer to the instructions page.

Instructions Output format Article abstract

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

Do not cache sequence profile and prediction results.
Instructions: Paste in or upload the input file and make sure to select correct format by checking the radio button.

Please read the CBS 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

View the abstract: abstract
The electronic version of this article is found here: download


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