title: Computational approaches toward the design of pools for the in vitro selection of complex aptamers.
abstract: It is well known that using random RNA/DNA sequences for SELEX experiments will generally yield low-complexity structures. Early experimental results suggest that having a structurally diverse library, which, for instance, includes high-order junctions, may prove useful in finding new functional motifs. Here, we develop two computational methods to generate sequences that exhibit higher structural complexity and can be used to increase the overall structural diversity of initial pools for in vitro selection experiments. Random Filtering selectively increases the number of five-way junctions in RNA/DNA pools, and Genetic Filtering designs RNA/DNA pools to a specified structure distribution, whether uniform or otherwise. We show that using our computationally designed DNA pool greatly improves access to highly complex sequence structures for SELEX experiments (without losing our ability to select for common one-way and two-way junction sequences).
authors.affiliation: School of Computer Science, Carleton University, Ottawa, Ontario K1S5B6, Canada.
authors.forename: Xuemei
authors.initials: X
authors.lastname: Luo
authors.forename: Maureen
authors.initials: M
authors.lastname: McKeague
authors.forename: Sylvain
authors.initials: S
authors.lastname: Pitre
authors.forename: Michel
authors.initials: M
authors.lastname: Dumontier
authors.forename: James
authors.initials: J
authors.lastname: Green
authors.forename: Ashkan
authors.initials: A
authors.lastname: Golshani
authors.forename: Maria C
authors.initials: MC
authors.lastname: Derosa
authors.forename: Frank
authors.initials: F
authors.lastname: Dehne
mesh_terms: D052157:Aptamers, Nucleotide / Q000737:chemistry*; D001483:Base Sequence; D003198:Computer Simulation; D008969:Molecular Sequence Data; D009690:Nucleic Acid Conformation
chemical_list: D052157:Aptamers, Nucleotide