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Prediction of Beta Turn

Previously, group developed methods like BetaTPred, BetaTPred2 and BetaTurns to predict turns and their types in proteins. Most of existing methods have been trained on limited data (around 426 protein chains). This server BetaTPred3 have number of advatage over existing methods that includes; reliability, accuracy and turn-level prediction.

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Beta Turn in proteins

Beta-turns are the most common type of non-repetitive structures, and constitute on average 25% of the residues in all protein chains. In a beta turn, a tight loop is formed when the carbonyl oxygen of one residue forms a hydrogen bond with the amide proton of an amino acid three residues down the chain. This hydrogen bond stabilizes the beta bend structure. A beta turn can reverse the direction of its peptide chain.

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Propensity based Beta Turn prediction

In the past statistical methods were developed to predict the beta turns based upon propensity score of beta turn. The propensity score was calculated using few hundered PDBs. We have calculate new propensity score using ~18000 PDBs. Users can predict beta turns based upon various position based propensity score. Click here to »Submit »

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Designing of Beta Turn

For the first time, we have developed a module thats helps user in understanding the positional preference of pairs of amino acids. First, user sequence is mapped and various propensity score are shown for all possible tetrapeptide. Second, the module performs all possible mutation in a tetrapeptide, either to increase or decrease its beta turn formation probability. Click here to »Submit »

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Prediction of Beta Turn Type

In the past numerous methods were developed to predict the beta turn types. Using the turn level approach we have significantly improved the prediction accuracy of beta turn types. To predict beta turns types in your protein click »Submit »

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We have developed a algorithm that predcit complete beta turn, earlier algorithm predict the residue that are present in beta turn. They can predict a residue to be beta turn residue, even its neighbouring residue are non beta turn. Our algorithm has overcome all these limitation and can predict only four consecutive beta turn residues.

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Protein Submission Form
(Prediction Module of BetaTPred3)

This page allows users to predict beta turns in their protein sequences. This is main module of BetaTPred3 for predicting beta-turns in a protein that predict using random forest based model. This module allow users to submit multiple protein sequences at a time in FASTA format. The server will predict whole beta turns (four consecutive residue or tetra peptides) in a protein sequence. This server may send results or URL to result page if user submit their email address (This module is slow, please provide email address). For more information see help page
Paste protein sequences in Fasta format       []
OR Upload protein sequence file in fasta format :

Please select beta turn probability score threshold (0-9):   

Email Address (Optional, if you want results by email also):