Beta-turn

Beta-turn is an important secondary structure that involves four consecutive residues. It folds the polypeptide chain back onto itself by nearly 180 degree and makes the protein a compact globular structure. It is also an internal component of antiparallel beta-strand so that it plays an important role in protein folding and molecular recognition. 

BetaTurn v1.1

• BetaTurn is a prediction system for beta-turn prediction based on amino acid sequence and predicted secondary structure alone.

• Support Vector Machine (SVM) and Position Specific Scoring Matrix (PSSM) are used in BetaTurn.

• Secondary structure is predicted  by PSIPRED (Jones, 1999).

• BetaTurn is based on the dataset of Guruprasad and Rajkumar (J Biosci 2000, 25: 143-156).

Reference

• Qidong Zhang, Sukjoon Yoon, William J. Welsh:

        "Improved Method for Predicting beta-turn using Support Vector Machine".  Bioinformatics 2005 21(10):2370-2374.

        Supplemental Material

Predicting your protein sequences by BetaTurn (new)