Models (6)
Vision-language model that reads molecular structure images, translating them to SMILES, captions, and properties via chemical-bond topology.
Decoder-only foundation model that unifies sequences, 3D structures, and natural language for small molecules and proteins in one shared token space.
DNA foundation model using masked discrete diffusion to unify bidirectional sequence understanding and de novo generation in one architecture.
Single-cell foundation model built on masked discrete diffusion, jointly generating gene identities and expression values from 59 million cells.
Retrieval-augmented latent diffusion model for protein binder design, retrieving interfaces in a shared latent space across peptides and antibodies.
Encoder-decoder framework unifying molecules, proteins, and natural language with SELFIES notation for cross-modal drug discovery tasks.