title: Statistically significant dependence of the Xaa-Pro peptide bond conformation on secondary structure and amino acid sequence.
abstract: BACKGROUND
  A reliable prediction of the Xaa-Pro peptide bond conformation would be a useful tool for many protein structure calculation methods. We have analyzed the Protein Data Bank and show that the combined use of sequential and structural information has a predictive value for the assessment of the cis versus trans peptide bond conformation of Xaa-Pro within proteins. For the analysis of the data sets different statistical methods such as the calculation of the Chou-Fasman parameters and occurrence matrices were used. Furthermore we analyzed the relationship between the relative solvent accessibility and the relative occurrence of prolines in the cis and in the trans conformation.
  
  
  RESULTS
  One of the main results of the statistical investigations is the ranking of the secondary structure and sequence information with respect to the prediction of the Xaa-Pro peptide bond conformation. We observed a significant impact of secondary structure information on the occurrence of the Xaa-Pro peptide bond conformation, while the sequence information of amino acids neighboring proline is of little predictive value for the conformation of this bond.
  
  
  CONCLUSIONS
  In this work, we present an extensive analysis of the occurrence of the cis and trans proline conformation in proteins. Based on the data set, we derived patterns and rules for a possible prediction of the proline conformation. Upon adoption of the Chou-Fasman parameters, we are able to derive statistically relevant correlations between the secondary structure of amino acid fragments and the Xaa-Pro peptide bond conformation.
authors.affiliation: Forschungsinstitut für Molekulare Pharmakologie Robert-Rössle-Str. 10, D-13125 Berlin, Germany. dopapo@gmx.net <dopapo@gmx.net>
authors.forename: Doreen
authors.initials: D
authors.lastname: Pahlke
authors.forename: Christian
authors.initials: C
authors.lastname: Freund
authors.forename: Dietmar
authors.initials: D
authors.lastname: Leitner
authors.forename: Dirk
authors.initials: D
authors.lastname: Labudde
mesh_terms: D000595:Amino Acid Sequence; D000596:Amino Acids; D030562:Databases, Protein; D015233:Models, Statistical; D008968:Molecular Conformation; D008969:Molecular Sequence Data; D010455:Peptides / Q000737:chemistry*; D011392:Proline / Q000737:chemistry; D011487:Protein Conformation; D017433:Protein Structure, Secondary; D011506:Proteins / Q000737:chemistry*; D017386:Sequence Homology, Amino Acid; D012997:Solvents
chemical_list: D000596:Amino Acids; D010455:Peptides; D011506:Proteins; D012997:Solvents; D011392:Proline