All Competitors

Molecular dynamics emulator generating time-coarsened trajectories for small molecules, peptides, and proteins from one shared atomic representation.

Protein-DNA binding prediction and binder design from sequence, aligning protein and DNA language model embeddings instead of co-folding a complex.

Antibody CDR design model fusing diffusion with a GFlowNet objective so binding energy is optimized during training rather than by post-hoc RL.

Protein representation model adding global fold-similarity and local substructure signals to masked pretraining, reaching 79.2 long-range contact P@L.

Recombinant protein expression predictor scoring soluble E. coli production from construct sequence, with AUROC 0.83 on prospective constructs.

T-cell epitope immunogenicity prediction that fuses MHC presentation, TCR binding, and activation data via adversarial multi-domain pretraining.

Structure-based drug design by diffusing medicinal-chemistry fragments into a binding pocket, yielding synthesizable, selective, drug-like molecules.

End-to-end protein structure alignment from 3D coordinates, matching TM-align quality at LDDT 0.56 and beating Foldseek on SCOPe40 search.

Ligand-aware protein language model that cross-attends SaProt embeddings to ligand SMILES, beating SaProt across six downstream benchmarks.

Deep mutational scanning score imputation across protein domains, pairing ESM-1v embeddings with EVE conservation and physicochemical features.

Encoder-decoder codon language model that reverse-translates a protein into species-specific coding sequences for synthetic mRNA design.

Structure-based drug design that schedules noise separately for 3D coordinates and 2D topology, reaching a 95.9% PoseBusters valid rate on CrossDock.

Unified atomic diffusion model for protein structure prediction and de novo antibody design, steered by epitope and target-structure constraints.

Pocket-conditioned 3D diffusion model for scaffold decoration, guided by evolutionary residue conservation and a protein-ligand interaction prior.

Protein model accuracy estimation for single chains and complexes, predicting per-residue lDDT, interface QS-score, and overall fold TM-score.

Antibody foundation model generating paired sequences with genetic and developability metadata for labelling, humanisation, and library design.

Anticancer protein prediction from sequence with a fine-tuned ESM-2 650M classifier; a BLAST hybrid raises validation AUC to 0.91.

Generative diffusion model that samples biomolecular conformational ensembles for proteins, RNA, and ligands in hours instead of millisecond-scale MD.

Physics-guided all-atom diffusion model for protein-ligand complex prediction, reaching 95.3% success on PoseBusters redocking with a known pocket.

Peptide-MHC structure prediction by SE(3)-equivariant diffusion, sampling 10 Cα conformations in under 6 seconds at 0.45 Å best-of-10 RMSD.

De novo protein design model using flow matching for binder, motif scaffolding, and symmetric generation, with wet-lab-validated binders.

Alignment-free biosynthetic gene cluster detection and annotation from ESM-2 gene embeddings in genomic context, up to 102x faster than antiSMASH.

Kinase-substrate specificity prediction from sequence alone, using ESM-2 embeddings to score phosphorylation across whole mammalian kinomes.