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Cheminformatics

Agentic Molecular Recovery via Molecule-Aware Exploration

Suwan Yoon, Changhee Lee

Featured June 11, 2026

Original Paper

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AI-generated analysis — This is SciGrove's AI interpretation of the paper, not peer-reviewed content. Always refer to the original paper.

Simply

Instead of just fixing broken molecule descriptions, a new method called AMREC carefully tracks what's wrong and explores many possible fixes, picking the best one to truly restore the molecule's original identity.

In depth
The paper introduces AMREC, an agentic framework designed to recover chemically meaningful molecules from invalid SMILES drafts generated by large language models. Unlike prior methods that merely repair syntax or greedily edit, AMREC employs molecule-aware mismatch tracking and expanded candidate exploration to preserve target-relevant structural cues and reconstruct the intended molecular identity, leading to superior recovery performance.

Key Takeaways

  • 1
    Existing methods for correcting invalid molecular strings often prioritize syntax repair over semantic recovery, leading to structural distortions that lose the intended molecular identity.
  • 2
    The AMREC framework addresses limitations of greedy agentic search by integrating explicit molecule-aware reasoning (Checker, Critic, Planner agents) with expanded candidate exploration and trajectory-level selection.
  • 3
    By maintaining a pool of recovery candidates and selecting the best one from the entire trajectory, AMREC achieves significantly stronger structural, exact-match, and string-level molecular recovery compared to baselines.

Conceptual Flow

HIGH LEVEL
1
Methodology: Smart Molecule Fixing

The system first understands what's wrong with a broken molecule, then tries many ways to fix it, and finally picks the best fixed version.

Broken Molecule Idea
Target Description
Understand & Explore Fixes
Many Fixed Molecule Options
2
Results: Better Molecule Recovery

The new method fixes broken molecules much better than old ways, making them almost identical to what they should be.

Old Fix Methods
New Fix Method
Compare Quality
New Method: Best Match
Old Methods: Okay Match