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It is shown that intricate RNA structures can be generated with current deep learning tools through accurate de novo design of pseudoknot secondary structures, suggesting that some difficult RNA design tasks may be tractable without first solving RNA 3D structure prediction.
Results suggest that accelerating RNA structure determination may speed progress toward nucleotide-based self-replication and suggest that accelerating RNA structure determination may speed progress toward nucleotide-based self-replication.
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