title: A vector projection method for predicting supersecondary motifs.
abstract: For the 11 types of most frequently occurring supersecondary motifs, we used a new method--the vector projection method--to predict a protein's supersecondary structure. In a training set of peptides and a test set of peptides we obtained a satisfactory result, with a prediction accuracy of about 90%. The high prediction accuracy indicates that this method is reasonable for predicting the folding motifs of proteins. This work provides insight into the problem of predicting a protein's local structure accurately, and is of particular value in protein modeling, prediction, and molecule design.
authors.affiliation: Department of Biological Sciences and Biotechnology, Tsinghua University, Beijing, China.
authors.forename: Z R
authors.initials: ZR
authors.lastname: Sun
authors.forename: C T
authors.initials: CT
authors.lastname: Zhang
authors.forename: F H
authors.initials: FH
authors.lastname: Wu
authors.forename: L W
authors.initials: LW
authors.lastname: Peng
mesh_terms: D000596:Amino Acids / Q000737:chemistry; D016208:Databases, Factual; D008958:Models, Molecular; D010455:Peptides / Q000737:chemistry*; D011336:Probability; D011487:Protein Conformation; D017510:Protein Folding; D017433:Protein Structure, Secondary; D012984:Software
chemical_list: D000596:Amino Acids; D010455:Peptides