Boltz2 Co-folding Model Boosts Small-Molecule Learning
A recent study examines Boltz2, a model for protein-ligand co-folding, focusing on its ability to learn representations of small molecules. The researchers applied its atom-level ligand representations to independent tasks and discovered that they either match or exceed the performance of current models on ADMET benchmarks. Additionally, Boltz2 enhances molecular generative modeling speed and increases sample efficiency in structure-guided ligand optimization. The findings suggest that Boltz2 representations serve as a valuable complement to traditional standalone models.
Key facts
- Boltz2 is a modern co-folding model
- Study uses systematic probing and distillation
- Boltz2 representations match or outperform existing models on ADMET benchmark
- Accelerates molecular generative modeling
- Improves sample efficiency in structure-guided ligand optimization
- Representations are complementary to standalone models
- Published on arXiv with ID 2602.13249
- Announce type: replace-cross
Entities
Institutions
- arXiv