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Cheminformatics

Atomic Design Transformer: Scaffold-Conditioned 3D Molecule Generation via xTB-Reward Reinforcement Learning

Takao Kotani

Featured July 29, 2026

Original Paper

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Simply

A smart computer program called ADT learns to build 3D molecules atom by atom, using a clever trick to describe new atoms based on their neighbors, and then gets better by playing a game where it's rewarded for making stable, realistic shapes.

In depth
The paper introduces the Atomic Design Transformer (ADT), an SE(3)-invariant autoregressive model for 3D molecule generation. It achieves invariance by tokenizing each new atom's position in a local coordinate frame of a previously placed parent atom, allowing a plain causal transformer to directly emit 3D geometry. The model is further refined using Reinforcement Learning from Verifiable xTB Reward (RLVR), significantly improving the physical validity and topology preservation of generated molecules without external data.

Key Takeaways

  • 1
    The Atomic Design Transformer (ADT) generates 3D molecules atom-by-atom using a novel SE(3)-invariant tokenization scheme based on local coordinate frames.
  • 2
    A new metric, xTB Topology-Preservation Rate (XTP), is introduced to quantitatively evaluate whether generated 3D structures maintain their declared bond topology after quantum-mechanical relaxation.
  • 3
    Reinforcement Learning from Verifiable xTB Reward (RLVR) significantly boosts the validity and stability of generated molecules, enabling self-improvement against physical rules without additional training data.

Conceptual Flow

HIGH LEVEL
1
Building Molecules Atom by Atom

The computer program learns to add one atom at a time, deciding where it goes by looking at its closest neighbors, making sure the whole molecule can spin and move without changing its internal shape.

Start with Seed
Add Atom Type
Choose Parent
Place Atom in Local Space
Growing 3D Molecule
2
Making More Stable Molecules

By playing a game where it gets points for making stable molecules, the program dramatically improved its ability to create realistic 3D shapes that don't fall apart.

Initial Molecules
Check Stability
Learn from Good Shapes
Many Stable Molecules