Computational design of RNA libraries for in vitro selection of aptamers.

Selection of aptamers that bind a specific ligand usually begins with a random library of RNA sequences, and many aptamers selected from such random pools have a simple stem-loop structure. We present here a computational approach for designing a starting library of RNA sequences with increased formation of complex structural motifs and enhanced affinity to a desired target molecule. Our approach consists of two steps: (1) generation of RNA sequences based on customized patterning of nucleotides with increased probability of forming a base pair and (2) a high-throughput virtual screening of the generated library to select aptamers with binding affinity to a small-molecule target. We developed a set of criteria that allows one to select a sequence with potential binding affinity from a pool of random sequences and designed a protocol for RNA 3D structure prediction. The proposed approach significantly reduces the RNA sequence search space, thus accelerating the experimental screening and selection of high-affinity aptamers.