Scripps Research

Single-cell foundation model running self-attention across all 27,874 human genes, with Gene Ontology priors injected through a graph network.

Structure-free RNA-small molecule binder discovery model that predicts ligands and their binding sites from RNA sequence using an RNA language model.

Protein dynamics model predicting per-residue probability of microsecond-millisecond conformational exchange from sequence or structure.

Antibody language model pretrained on a curriculum that slides from unpaired to natively paired heavy/light sequences during masked-token training.

Multi-modal protein foundation model aligning 3D structure and literature text to a sequence anchor through contrastive pretraining.

Multi-modal LLM answering free-form questions about a compound's indications, pharmacodynamics and mechanism of action from its SMILES string.