Computational approaches toward the design of pools for the in vitro selection of complex aptamers.
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).
Luo
Xuemei
X
School of Computer Science, Carleton University, Ottawa, Ontario K1S5B6, Canada.
McKeague
Maureen
M
Pitre
Sylvain
S
Dumontier
Michel
M
Green
James
J
Golshani
Ashkan
A
Derosa
Maria C
MC
Dehne
Frank
F
D052157:Aptamers, Nucleotide / Q000737:chemistry*; D001483:Base Sequence; D003198:Computer Simulation; D008969:Molecular Sequence Data; D009690:Nucleic Acid Conformation
D052157:Aptamers, Nucleotide