Before revision:  However, an alternative that has shown significantly higher performance are human players of the online RNA design game EteRNA . Through many rounds of gameplay, these players have developed a collective library of "human" rules and strategies for RNA design that have proven to be more effective than current computational approaches, especially for complex targets . Here, we present an RNA design agent , SentRNA, which consists of a fully-connected neural network trained using the eternasolves dataset, a set of 1.8 x 10^4 player-submitted sequencesacross 724 unique targets.
After revision:  However, an alternative that has shown significantly higher performance are human players of the online RNA design game EteRNA have consistently shown superior performance in this regard, being able to readily design sequences for targets that are challenging for machine algorithms. Here we present a novel approach to the RNA design problem , SentRNA, which consists of a fully-connected neural network trained using the eternasolves dataset, a set of 1.8 x 10^4 player-submitted sequencesacross 724 unique targets.