Understanding how genotypes map onto phenotypes, fitness, and eventually organisms is
arguably the next major missing piece in a fully predictive theory of evolution. We refer to this …

RNA engineering has immense potential to drive innovation in biotechnology and medicine.
Despite its importance, a versatile platform for the automated design of functional RNA is still …

Computational programs for predicting RNA sequences with desired folding properties have
been extensively developed and expanded in the past several years. Given a secondary …

Motivation RNA design shows growing applications in synthetic biology and therapeutics,
driven by the crucial role of RNA in various biological processes. A fundamental challenge is …

Through iterative cycles of selection, amplification, and mutagenesis, in vitro selection
provides the ability to isolate molecules of desired properties and function from large pools …

We use reinforcement learning to train an agent for computational RNA design: given a
target secondary structure, design a sequence that folds to that structure in silico. Our agent …

An RNA design algorithm takes a target RNA structure and finds a sequence that folds into
that structure. This is fundamentally important for engineering therapeutics using RNA …

Novel tools for in silico design of RNA constructs such as riboregulators are required in
order to reduce time and cost to production for the development of diagnostic and …

Background RNAs are attractive molecules as the biological parts for synthetic biology. In
particular, the ability of conformational changes, which can be encoded in designer RNAs …

While artificial intelligence has made remarkable strides in revealing the relationship
between biological macromolecules' primary sequence and tertiary structure, designing …