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Bioinformatics Vol. 18 no. 3 2002
Pages 498-499
© 2002 Oxford University Press

Applications Note

BetaTPred: prediction of ß-TURNS in a protein using statistical algorithms

Harpreet Kaur and G. P. S. Raghava *

Institute of Microbial Technology, Sector-39A, Chandigarh, India

Received on July 22, 2001 ; revised on September 19, 2001 ; accepted on October 29, 2001

Motivation: ß-turns play an important role from a structural and functional point of view. ß-turns are the most common type of non-repetitive structures in proteins and comprise on average, 25% of the residues. In the past numerous methods have been developed to predict ß-turns in a protein. Most of these prediction methods are based on statistical approaches. In order to utilize the full potential of these methods, there is a need to develop a web server.

Results: This paper describes a web server called BetaTPred, developed for predicting ß-TURNS in a protein from its amino acid sequence. BetaTPred allows the user to predict turns in a protein using existing statistical algorithms. It also allows to predict different types of ß-TURNS e.g. type I, I', II, II', VI, VIII and non-specific. This server assists the users in predicting the consensus ß-TURNS in a protein.

Availability: The server is accessible from http://imtech.res.in/raghava/betatpred/

Contact: raghava{at}imtech.res.in

Supplementary information: http://imtech.res.in/raghava/betatpred/intro.html

* To whom correspondence should be addressed.


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