title: BetaTPred: prediction of beta-TURNS in a protein using statistical algorithms.
creator: Kaur, Harpreet
creator: Raghava, G.P.S.
subject: QR Microbiology
description: 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  
publisher: Oxford University Press
date: 2002-03
type: Article
type: PeerReviewed
format: application/pdf
identifier: http://crdd.osdd.net/open/273/1/raghava2002.pdf
relation: http://bioinformatics.oxfordjournals.org/content/18/3/498.long
identifier:   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     
relation: http://crdd.osdd.net/open/273/