All Competitors

Generative diffusion transformer for protein-ligand dynamics that produces trajectories, inpaints missing ligand atoms, and samples transition paths.

GPCR ligand bioactivity predictor combining ProteinBERT receptor embeddings with molecular descriptors, spanning the class A receptor family.

Chest CT masked autoencoder pretrained on over 5,000 volumes, fine-tuned to classify interstitial lung disease under Fleischner Society criteria.

Multi-organ CT registration model that aligns thorax, abdomen, and pelvis in one pass and transfers to unseen datasets without fine-tuning.

Single-cell multi-omics foundation model whose three-stage pretraining and distillation yield RNA-and-ATAC-aware embeddings from RNA-only input.

Amyloidogenicity predictor that classifies hexapeptides and scans whole proteins for aggregation-prone regions using frozen ESM-2 embeddings.

Multimodal, retrieval-augmented protein foundation model that learns family-specific evolutionary constraints with optional structure conditioning.

Structure-based virtual screening model that jointly predicts protein-ligand complex structures and binding fitness from sequence and SMILES.

Molecular reasoning language model for molecule captioning and text-to-molecule generation, trained by chain-of-thought distillation then reward RL.

Histopathology segmentation model aligning SAM to clinical intent through direct preference optimization, tested zero-shot on 12 external datasets.

Molecular structure elucidation model that reads IR, Raman, UV-Vis, NMR, and mass spectra as text and generates SMILES end to end.

Protein-ligand interaction model pretrained on solvent-aware conformer ensembles, reaching 97.1% AUC on DUD-E virtual screening.

Biomedical named entity recognition transformers, with task-specialized checkpoints for chemicals, diseases, genes, proteins, species, and anatomy.

MSA-based protein language model for unsupervised contact prediction, outperforming ESM2-15B with 111M parameters and leading on interface contacts.

Binding free energy change (ΔΔG) predictor for protein-protein interfaces, decomposing mutational effects into inverse-folding and energy-model terms.

Protein surface tokenizer that turns surface-exposed residues into codebook tokens, lifting SKEMPI binding affinity change prediction to r = 0.600.

Influenza genomic language model adapting DNABERT-2 to ~900,000 viral genomes, identifying subtypes, segments, and pathogenicity from sequence.

Host-pathogen protein interaction predictor scoring bacterial effector and human protein pairs from frozen ESM-2 embeddings with a transformer.

Histopathology and multi-omics foundation model pretrained with masked omics modeling on 4,718 pan-cancer TCGA cases spanning 32 cancer types.

Proteome-scale protein language model whose representations enable zero-shot protein-protein interaction and gene essentiality prediction.

B-cell epitope predictor fusing ESM-2 embeddings with residue contact and protrusion features to score linear and conformational epitopes.

Pathology vision foundation model backbone hybridizing state space models with a ViT. 57% higher leave-one-study-out correlation on gene expression.

Coaxial-stacking prediction for RNA multi-way junctions from sequence and secondary structure, at ~0.87 mean accuracy across 2- to 7-way topologies.