title: Dichroic statistical model for prediction and analysis of peptide helicity.
abstract: Traditional statistical models for the prediction of peptide helicity are written in terms of the mean fractional helicity of the peptide residues. Far ultraviolet circular dichroic measurements of peptide solutions are converted to mean fractional helicity by partitioning the observed ellipticity between that of a perfect helix and a random coil. This partition does not adequately represent the ensemble of peptide molecules present in solution that populate imperfect helical conformations of quite variable lengths. A new dichroic statistical model has been written in terms of ellipticity rather than fractional helical content that recognizes (1) the source of ellipticity, peptide bond adsorption; (2) the differential ellipticity of peptide bonds in the terminal and interior helical turns; and (3) the contributions of each participant in a conformational ensemble to the observed ellipticity. Comparative analyses of host/guest peptides indicates that significant differences are obtained between residue w and n weights and ellipticity values using the traditional and dichroic statistical models.
authors.affiliation: Department of Biochemistry, University of Iowa, Iowa City 52242, USA.
authors.forename: W
authors.initials: W
authors.lastname: Shalongo
authors.forename: E
authors.initials: E
authors.lastname: Stellwagen
mesh_terms: D000465:Algorithms; D002942:Circular Dichroism; D008958:Models, Molecular; D015233:Models, Statistical; D010455:Peptides / Q000737:chemistry*; D011487:Protein Conformation
chemical_list: D010455:Peptides