… Design problem is to find an RNA sequence which … RNA Design problem, dubbed LEARNA.
LEARNA uses deep reinforcement learning to train a policy network to sequentially design …

… we describe machine learning approaches specifically developed for the design of RNAs,
with … of automated deep reinforcement learning algorithms for secondary structure-based RNA …

… Similar to how an agent for Go can learn the optimal move to make given one of … an RNA
design agent could also learn the optimal design choice given one of many unique target RNA …

… to learn strategies for solving in vitro RNA design problems on … negative design rules—were
distilled by machine learning … in a dozen RNA secondary structure design tests, including the …

… for the complex RNA tertiary structure and design an RNA design … learning scheme and a
secondary structure imposing strategy. … RNA design to uncover the relationships between RNA …

… the mechanisms of RNA function, designing synthetic RNAs, and discovering … of previously
unseen RNAs, we used a benchmark consisting of all RNAs that were included in the RNA-…

… -targeted drug discovery and in the design of RNA aptamers, where RNA … of RNA secondary
structure, RNA aptamers and RNA drug discovery using machine learning, deep learning …

… deep learning to solve RNA problems, including predictions of RNA structures, non-canonical
G-quadruplex, RNA… Next, the experience of deep learning architecture design is presented …

… design, our objective in this study is to develop a deep-… lead to improved function in RNA
sensors. Instead, visualized … to visualize important RNA secondary structures learned by our …

… We discuss the shortcomings that various design decisions entail and … learning but
differentiates data on RNA length rather than structural coarseness. The authors reason that RNA …