# Fraglingo: Molecular Design via Attachment-Aware Autoregressive Fragment Generation

**Published:** September 15, 2026
**Author:** Thao Nguyen, Jeonghwan Kim, Zhenhailong Wang, Heng Ji
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/en/articles/fraglingo-molecular-design-via-attachment-aware-autoregressive-fragment-

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…

> From the original source: **arXiv — cs.AI**
> [Read full article at arXiv — cs.AI](https://arxiv.org/abs/2609.13519)

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