title: OnD-CRF: predicting order and disorder in proteins using [corrected] conditional random fields.
abstract: BACKGROUND
  Order and Disorder prediction using Conditional Random Fields (OnD-CRF) is a new method for accurately predicting the transition between structured and mobile or disordered regions in proteins. OnD-CRF applies CRFs relying on features which are generated from the amino acids sequence and from secondary structure prediction. Benchmarking results based on CASP7 targets, and evaluation with respect to several CASP criteria, rank the OnD-CRF model highest among the fully automatic server group.
  
  
  BACKGROUND
  http://babel.ucmp.umu.se/ond-crf/
authors.affiliation: Umeå Centre for Molecular Pathogenesis, UCMP, and Centre for Chemical Biology, KBC, Umeå University, SE-901 87 Umeå, Sweden.
authors.forename: Lixiao
authors.initials: L
authors.lastname: Wang
authors.forename: Uwe H
authors.initials: UH
authors.lastname: Sauer
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D003198:Computer Simulation; D008956:Models, Chemical; D015233:Models, Statistical; D008969:Molecular Sequence Data; D011506:Proteins / Q000737:chemistry*; D020539:Sequence Analysis, Protein / Q000379:methods*
chemical_list: D011506:Proteins