Diversifying Design of Nucleic Acid Aptamers Using Unsupervised Machine Learning. (arXiv:2208.05341v1 [physics.bio-ph])

Inverse design of short single-stranded RNA and DNA sequences (aptamers) is
the task of finding sequences that satisfy a set of desired criteria. Relevant
criteria may be, for example, the presence of specific folding motifs, binding
to molecular ligands, sensing properties, etc. Most practical approaches to
aptamer design identify a small set of promising candidate sequences using
high-throughput experiments (e.g. SELEX), and then optimize performance by
introducing only minor modifications to the empirically found candidates.
Sequences that possess the desired …

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