Boltz2 co-folding representations match or exceed existing models on ADMET benchmarks, accelerate generative modeling, and improve sample efficiency in ligand optimization while being complementary to 3D, bioassay, and quantum-chemical supervision.
Probing Network and Training Configuration.Our detailed probing and evaluation setups follow prior work (Klaser et al., 2024)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
q-bio.BM 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Systematic Evaluation of Co-folding Model Representations for Small-Molecule Learning
Boltz2 co-folding representations match or exceed existing models on ADMET benchmarks, accelerate generative modeling, and improve sample efficiency in ligand optimization while being complementary to 3D, bioassay, and quantum-chemical supervision.