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RNA Design via Conditioned Flow Matching and Finite-Policy Reinforcement Learning

Lin, Zefeng et al.
arXiv (All) · Papers
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biomoleculesmachine-learning
RNA design aims to identify sequences that fold into specified secondary structures. Existing methods formulate the task as target-specific search or conditional generation. However, natural RNA evolution proceeds through sequence variation and selection, with compensatory substitutions, whereas the
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