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Prediction of Beta Turn Types

In the past numerous methods were developed to predict the beta turn types. Most of existing methods predict limitted type of turns where as this module allow prediction of nine types of beta turns. This module predict using tetra (turn level) peptide based random forest model. click »Submit »

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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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Prediction of Beta Turn

In the past numerous methods were developed to predict the beta turns. But all of this method were trained to predict residue level prediction instead of four residue level. Since, a beta turn is composed of four consecutive amno acids. Using this simple approach we have achieved good prediction accuracy and realistic prediction of beta turns. To predict beta turns in your protein click »Submit »

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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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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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Beta Turn type Prediction
(Sequence Submission Form)

This page allows users to predict 9 types of beta turns in proteins. User can paste or upload sequence of multiple proteins in fasta format. The server will predict type of beta turns in a protein sequence using its best models based on random forest. This is an advance version of BetaTurns . The output of server or URL of output may be send via email (this module is slow, please give email address). Click here for help
Paste protein sequences in Fasta format       []  
OR Upload protein sequence file in fasta format :
Please select type of beta turn
Turn Type I I' II II' IV VIa1 VIa2 VIb VIII

Email Address (Optional, If you want output via email also) :


A total of 9 different type of beta-turns are assigned using Promotif Software which is a standard software for betaturn assignment. These 9 types of betaturns are assigned based on the dihedral angles of central residues in a turn as given in the table below.