title: Identification of amino acid latent periodicity within 94 protein families.
abstract: Here, we have applied information decomposition, cyclic profile alignment, and noise decomposition techniques to search for latent repeats within protein families of various functions. We have identified 94 protein families with a family-specific periodicity. In each case, the periodic element was found in greater than 70% of family members. Latent periodicity profiles with specific length and signature were obtained in each case. The possible relationship between the periodic elements thus identified and the evolutionary development of the protein families are discussed with specific reference to the possibility that there is a correlation between the periodic elements and protein function.
authors.affiliation: Bioengineering Center of Russian Academy of Sciences, Prospect 60-tya Oktyabrya, Moscow.
authors.forename: Vera P
authors.initials: VP
authors.lastname: Turutina
authors.forename: Andrew A
authors.initials: AA
authors.lastname: Laskin
authors.forename: Nikolay A
authors.initials: NA
authors.lastname: Kudryashov
authors.forename: Konstantin G
authors.initials: KG
authors.lastname: Skryabin
authors.forename: Eugene V
authors.initials: EV
authors.lastname: Korotkov
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D019295:Computational Biology; D005810:Multigene Family; D016415:Sequence Alignment; D020539:Sequence Analysis, Protein