GrayLab

Protein-protein docking model adapting AlphaFold-Multimer with a docking module and flow-matching training to assemble subunits without MSAs.

Generative language model trained on 558 million antibody sequences for infilling-based design of CDR loops and full-length immunoglobulin sequences.

Structure-conditioned graph transformer trained with masked language modeling to learn residue encodings for inverse folding and antibody design.