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.