title: Using pair-coupled amino acid composition to predict protein secondary structure content.
abstract: The pair-coupled amino acid composition is introduced to predict the secondary structure contents of a protein. Compared with the existing methods all based on singlewise amino acid composition as defined in a 20D (dimensional) space, this represents a step forward to the consideration of the sequence coupling effect. The test results indicate that the introduction of the pair-coupled amino acid composition can significantly improve the prediction quality. It is anticipated that the concept of the pair-coupled amino acid composition can be used to simplify the formulation of sequence coupling (or sequence order) effects and to study many other features of proteins as well.
authors.affiliation: Computer-Aided Drug Discovery, Pharmacia & Upjohn, Kalamazoo, Michigan 49007-4940, USA.
authors.forename: K C
authors.initials: KC
authors.lastname: Chou
mesh_terms: D000465:Algorithms; D000596:Amino Acids / Q000032:analysis*; D006860:Hydrogen Bonding; D008433:Mathematics; D011487:Protein Conformation; D017433:Protein Structure, Secondary
chemical_list: D000596:Amino Acids