All Competitors

Fragment-protein interaction model trained on cellular chemoproteomics, pairing ESM-2 residue embeddings with bilinear attention over ligand atoms.

Structure scoring model for antibody-antigen and protein-ligand complexes, built on one frozen geometry-aware backbone reused across scoring tasks.

Multi-task cellular foundation model predicting drug sensitivity, perturbation expression and drug-protein binding from one pretrained checkpoint.

Biomolecular complex structure prediction without multiple sequence alignment, for protein-protein, protein-ligand and protein-nucleic acid binding.

Sequence-only dual-encoder contrastive model that ranks whole molecule libraries against a protein target without 3D structures or per-pair scoring.

NMR foundation model that turns 1D 1H spectra into reusable embeddings, with a shared encoder serving denoising, peak detection, and retrieval.

Drug- and dose-conditioned latent transition predictor pretrained on the Tahoe-100M perturbation atlas and transferred frozen to tumor RNA-seq.

Protein-ligand co-folding model on the OpenFold3 architecture, trained on PDB structures through June 2025 with inference-time chemical steering.

Long-context co-folding model for protein, nucleic-acid and ligand assemblies, folding systems up to 16,384 residues on a single GPU.

Proteochemometric potency model that ranks protein-ligand pairs on the pIC50 scale from a UniProt accession and a SMILES string, no structure needed.

Cross-modal continued pretraining on curated mass-spectrometry proteomes lifts a 70M single-cell model past RNA-only checkpoints far larger.

World model that simulates a human cell as one persistent state, propagating drug and gene perturbations from DNA through to whole-cell morphology.

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

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

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

Infrared spectroscopy foundation model pretrained on 60 million simulated spectra, then adapted to real FTIR measurements of molecules and mixtures.

Single-cell perturbation response prediction by conditional latent diffusion, trained on the Tahoe-100M atlas of 100 million drug-treated cells.

Molecular property prediction model pretrained jointly on SMILES strings and 2D graphs, fusing the two views through bidirectional cross-attention.

Antisense oligonucleotide activity prediction from sequence, position-specific chemistry, dose, and cell context. Spearman 0.5970 on ASO Atlas.

Tandem mass spectrum prediction that builds explicit fragmentation pathways, mapping unknown spectra onto 800 million predicted PubChem spectra.

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

Chemistry embedding model placing SMILES strings and scientific prose in one vector space, top-tier on 43 of 48 molecular and text benchmarks.

Protein-ligand binding affinity scoring model for virtual screening that generalizes to novel pockets and ligands under strict train-test splits.