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    "headline": "Several Agents Fold One RNA Sequence Together",
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    "dek": "CocoRNA splits inverse folding into cooperative subproblems and uses a centralized critic to coordinate the resulting design policy.",
    "summary": "CocoRNA splits inverse folding into cooperative subproblems and uses a centralized critic to coordinate the resulting design policy.",
    "body_text": "RNA inverse design asks for a sequence that will fold into a specified secondary structure. CocoRNA decomposes that search into smaller pieces handled by cooperating reinforcement-learning agents, while a centralized critic supplies global structural context during training. On the authors' Rfam experiments, the resulting policy outperformed compared methods in success rate and design speed and generalized to unseen structures without additional training. Additional sequence-design tests suggested the decomposition may transfer beyond RNA. These are computational design results rather than laboratory validation of biological function, and a predicted fold is not a therapeutic molecule. The useful idea is organizational: global structure can guide local agents without forcing one policy to search the whole combinatorial space at once.",
    "why_it_matters": "CocoRNA splits inverse folding into cooperative subproblems and uses a centralized critic to coordinate the resulting design policy.",
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      "These are computational design results rather than laboratory validation of biological function, and a predicted fold is not a therapeutic molecule."
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        "qualification": "These are computational design results rather than laboratory validation of biological function, and a predicted fold is not a therapeutic molecule."
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    "tags": [
      "RNA design",
      "multi-agent reinforcement learning",
      "bioinformatics"
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      "title": "arXiv preprint 2610.23820, original v1",
      "publisher": "arXiv",
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      "published_at": "2026-10-16T13:43:25.000-04:00",
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    "title": "Several Agents Fold One RNA Sequence Together",
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