Labs & Groups (3)
ByteDance AI Lab
An industrial AI research lab within ByteDance, spanning machine learning, vision, and robotics, and extending into AI for science and biology.
2 models
ByteDance Research
The research arm of ByteDance, where AI for science work reaches into molecular biology, quantum chemistry, and the evaluation of protein models.
0 models
ByteDance Seed
The foundation model team behind ByteDance's frontier AI research, spanning language, multimodal, and AI for science from proteins to cryo-EM.
3 models
Models (6)
All-atom protein co-design model that generates sequence and structure together in one unified diffusion process, aimed at hard binder design.
464M-parameter structure prediction and design model that improves antibody-antigen complex accuracy over Protenix-v1 and adds generative VHH design.
All-atom generative foundation model that designs small molecules, peptides, and nanobodies against a target binding site from a single checkpoint.
De novo protein binder design suite from ByteDance pairing diffusion and hallucination generators with confidence-based filtering of designs.
Open-source PyTorch reproduction of AlphaFold 3 under Apache 2.0, matching or exceeding AF3 on protein-ligand, protein-protein, and RNA benchmarks.
Generative foundation model for cryo-EM density maps using flow matching, enabling zero-shot denoising, map sharpening, and missing wedge restoration.