All Competitors

Designs RNA and DNA aptamers against protein targets by backpropagating binding and anti-binding objectives through a frozen all-atom predictor.

Peptide-focused instruction-tuned LLM that describes function, designs sequences, predicts eight bioactivity properties and edits physicochemistry.

Contrastive encoder aligning NMR metabolomics to the plasma proteome, adding proteome-level disease risk signal to cohorts with no proteomics.

B-cell epitope prediction from antigen sequence alone. Fine-tunes ESM-2 with LoRA instead of freezing it, and scores antigens up to 1,724 residues.

Conformational ensemble generation between two anchor structures, mixing inverse-folding probabilities to prompt a frozen structure predictor.

Graph transformer VAE that encodes ligand binding sites into latent point clouds, turning template search into a Chamfer distance lookup.

Olfactory receptor-odorant interaction prediction from sequence and SMILES, pairing protein and chemical language models through cross-attention.

Hierarchical Enzyme Commission number annotation mapping frozen ESM-2 embeddings onto Random Forest classifiers, at 0.90 weighted F1 on 4-digit EC.

Protein druggability classification from sequence alone, stacking a self-attentive BiLSTM and Transformer encoder on frozen ESM-2 embeddings.

Drug-target affinity model scoring small molecules across the whole human proteome to yield tissue-weighted off-target binding profiles.

Enzyme function assignment by embedding retrieval, fusing three frozen protein language models into a 256-D EC-aware search space.

Molecular glue degrader activity prediction from SMILES and protein sequence, with two-stage cross-attention that follows E3-then-substrate binding.

DNA-binding residue prediction across folded domains and disordered protein regions, with contrastive training that suppresses cross-predictions.

DARPin binder design constrained to the ankyrin-repeat consensus grammar, pairing a fine-tuned inverse-folding model with two structure oracles.

Multi-label therapeutic peptide classifier over frozen ProtT5 embeddings, scoring 15 bioactivities from antimicrobial to quorum-sensing in one pass.

All-atom structure prediction for complexes of proteins, DNA, RNA, and small molecules, using Min-SNR diffusion weighting and the Muon optimizer.

Protein stability predictor scoring ΔΔG for substitutions, multi-point mutations and indels from a folding model's latent structure representations.

Antibody language model fine-tuned to predict hydrophobic interaction chromatography retention from paired heavy and light chain sequence alone.

Post-translational modification site prediction over frozen ProtT5 embeddings, sharing one model across six PTM types via anchor-based flow matching.

Machine learning force field for all-atom protein dynamics, trained on 40 million DFT dipeptide conformations covering backbone and side-chain space.

Context-specific protein embeddings across 286 liver disease and cell-type combinations, learned over interactomes built from a single-cell atlas.

Protein foundation model predicting a ten-modality joint embedding from sequence alone. Reaches 69.99% enzyme class accuracy on dark proteins.

Protein-protein interaction embedding map that infers what a single interaction does from its neighbours among 199,137 human PPIs.