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

Kaur, Harpreet and Raghava, G.P.S. (2002) BetaTPred: prediction of beta-TURNS in a protein using statistical algorithms. Bioinformatics (Oxford, England), 18 (3). pp. 498-9. ISSN 1367-4803

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Abstract

MOTIVATION: beta-turns play an important role from a structural and functional point of view. beta-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 beta-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 beta-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 beta-TURNS e.g. type I, I', II, II', VI, VIII and non-specific. This server assists the users in predicting the consensus beta-TURNS in a protein

Item Type:	Article
Additional Information:	Copyright of this article belongs to OUP.
Subjects:	Q Science > QR Microbiology
Depositing User:	Dr. K.P.S.Sengar
Date Deposited:	05 Jan 2012 15:14
Last Modified:	05 Jan 2012 15:14
URI:	http://crdd.osdd.net/open/id/eprint/273

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