Science for Life Laboratory

Protein dynamics prediction from one equilibrium structure, giving per-residue directional flexibility and pairwise residue couplings.

Designs macrocyclic peptide molecular glues bridging two target proteins from sequence alone, validated as VHL-recruiting degraders in cells.

Cryo-EM density enhancement for protein-ligand binding sites, sharpening weak ligand maps with a 3D Swin-Conv UNet trained on 6,511 complexes.

Flow-matching model that jointly samples 3D de novo molecules and several low-energy conformers, extending to pocket-conditioned ligand design.

Energy-based flow matching for 3D molecular structure, using an idempotent predict-and-refine map for protein backbone generation and ligand docking.

De novo protein backbone design conditioned on a target per-residue flexibility profile, with SE(3)-equivariant flow matching and MD validation.

Protein structure prediction and peptide binder design model covering the 20 canonical amino acids plus 29 noncanonical residues.

Contrastive k-mer embedding model for sequencing reads whose latent space encodes genomic position, matching BWA-aln accuracy on ancient DNA mapping.

Spider silk protein language model that generates MaSp repeat sequences from target mechanical properties and predicts those properties from sequence.

Protein conformational ensemble generator conditioned on backbone geometry alone, sampling MD-like dynamics without MSAs or a folding model.

Cell type annotation from multiplexed tissue images, using a pretrained Vision Transformer ensemble that runs on new panels without fine-tuning.

De novo protein backbone design with geometric-algebra attention, sampling designable structures whose secondary structure matches natural proteins.

Blind peptide binder design from a protein sequence alone, evolving linear or cyclic binders against a frozen AlphaFold2 with no binding site given.

In silico directed evolution that designs peptide binders against a chosen protein interface from sequence alone, scored by a frozen AlphaFold2.