title: Estimating the significance of sequence order in protein secondary structure and prediction.
abstract: BACKGROUND
  How critical is the sequence order information in predicting protein secondary structure segments? We tried to get a rough insight on it from a theoretical approach using both a prediction algorithm and structural fragments from Protein Databank (PDB).
  
  
  RESULTS
  Using reverse protein sequences and PDB structural fragments, we theoretically estimated the significance of the order for protein secondary structure and prediction. On average: (1) 79% of protein sequence segments resulted in the same prediction in both normal and reverse directions, which indicated a relatively high conservation of secondary structure propensity in the reverse direction; (2) the reversed sequence prediction alone performed less accurately than the normal forward sequence prediction, but comparably high (2% difference); (3) the commonly predicted regions showed a slightly higher prediction accuracy (4%) than the normal sequences prediction; and (4) structural fragments which have counterparts in reverse direction in the same protein showed a comparable degree of secondary structure conservation (73% identity with reversed structures on average for pentamers).
  
  
  BACKGROUND
  jong@biosophy.org; dietmann@ebi.ac.uk; heger@ebi.ac.uk; holm@ebi.ac.uk
authors.affiliation: The European Bioinformatics Institute, EMBL Outstation, Cambridge CB10 1SD, UK. jong@biosophy.org
authors.forename: J
authors.initials: J
authors.lastname: Park
authors.forename: S
authors.initials: S
authors.lastname: Dietmann
authors.forename: A
authors.initials: A
authors.lastname: Heger
authors.forename: L
authors.initials: L
authors.lastname: Holm
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D019295:Computational Biology; D016208:Databases, Factual; D008969:Molecular Sequence Data; D017433:Protein Structure, Secondary; D011506:Proteins / Q000737:chemistry* / Q000235:genetics*; D012984:Software
chemical_list: D011506:Proteins