Model Hub
Protenix
AF3-based structure prediction optimized for binding pocket accuracy
Protenix is ByteDance Research's structure prediction model for proteins, small molecule ligands, and multi-component complexes. It supports modeling of all components as a unified system, with full transparency into training data, model scale, and inference approach — for teams who need open access to next-generation prediction capabilities.
Key capabilities:
Protein monomer, multimer, and protein-ligand complex prediction
Models proteins and small molecule ligands as a single complex
Improved quality with fast and private MSA support (GPU-accelerated)
License: Apache 2.0

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