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arXiv — cs.AI

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Fraglingo: Molecular Design via Attachment-Aware Autoregressive Fragment Generation

Molecular design is most effective when generation mirrors the edits chemists actually make: extending a scaffold, replacing a substituent, or decorating a scaffold at a specified attachment site while optimizing molecular properties. Fragment-based molecular design naturally…

arXiv — cs.AIBy: Thao Nguyen, Jeonghwan Kim, Zhenhailong Wang, Heng JiSeptember 15, 2026 (Sep 15)
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  • Molecular design is most effective when generation mirrors the edits chemists actually make: extending a scaffold, replacing a substituent, or decorating a scaffold at a specified attachment site while optimizing molecular properties
  • Fragment-based molecular design naturally…
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Fraglingo: Molecular Design via Attachment-Aware Autoregressive Fragment Generation

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