title: Identification of protein latent periodicities using recurrent correlation analysis.
abstract: Many large proteins have evolved by internal duplication and fusion. For proteins with internal structural symmetry, this means that their sequences should be made up of identical repeats. However, many of these repeat signals can only be seen at the structural level yet. We suggested a method of recurrent correlation analysis to detect the sequence repeats of proteins directly from their sequences. It showed that the internal repetitions of the representative proteins in six folds of mainly beta class could be identified directly at the sequence level.
authors.affiliation: Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, Shandong, China.
authors.forename: Xiaofeng
authors.initials: X
authors.lastname: Ji
authors.forename: Yuejun
authors.initials: Y
authors.lastname: Wang
authors.forename: Haiying
authors.initials: H
authors.lastname: Wang
authors.forename: Mi
authors.initials: M
authors.lastname: Sun
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000379:methods; D017510:Protein Folding; D017433:Protein Structure, Secondary; D011506:Proteins / Q000737:chemistry*; D020449:Repetitive Sequences, Amino Acid
chemical_list: D011506:Proteins