title: BetaTPred: prediction of beta-TURNS in a protein using statistical algorithms.
abstract: BACKGROUND
  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.
  
  
  BACKGROUND
  The server is accessible from http://imtech.res.in/raghava/betatpred/
authors.affiliation: Institute of Microbial Technology, Sector-39A, Chandigarh, India.
authors.forename: Harpreet
authors.initials: H
authors.lastname: Kaur
authors.forename: G P S
authors.initials: GP
authors.lastname: Raghava
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D003205:Computing Methodologies; D020407:Internet; D008958:Models, Molecular; D015233:Models, Statistical; D008969:Molecular Sequence Data; D017433:Protein Structure, Secondary; D011506:Proteins / Q000737:chemistry*; D012984:Software
chemical_list: D011506:Proteins