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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 889–912 of 2336 models
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.
Coaxial-stacking prediction for RNA multi-way junctions from sequence and secondary structure, at ~0.87 mean accuracy across 2- to 7-way topologies.
Flow matching model that builds any non-canonical amino acid into a protein pocket from its SMILES string, at 1.43 Å mean RMSD on held-out ncAAs.
Sequence-based protein-protein interaction predictor over ProtT5 embeddings that reaches 0.70 AUROC on the leakage-free gold standard benchmark.
Protein-protein interface prediction from 3D structure using face-centered surface fingerprints and geometric graph attention, at ROC AUC 0.89.
Bacteriophage gene function prediction from genomic synteny, pairing protein language model embeddings with circular attention. AUC above 0.84.
Organic reaction foundation model that tokenizes 3D molecular structure to predict products, retrosynthetic routes, conditions, and yields.
DNA foundation model for germline variant pathogenicity, pretrained on 27 mammalian genomes and fine-tuned on ClinVar and HGMD for SNVs and indels.
Multi-state protein inverse folding model that designs one sequence for two conformations, improving sequence recovery 12% over ProteinMPNN.
Enzyme screening framework pairing a sequence-structure CNN classifier with CLIP-style protein-reaction retrieval to link orphan enzymes to genes.
Peptide toxicity prediction that fuses frozen ProtT5 residue embeddings with ESMFold-predicted structure in an E(3)-equivariant graph neural network.
Structure-based drug design framework pairing pharmacophore-guided latent diffusion with training-free, pocket-aware evolutionary optimization.
Scientific multimodal foundation model, a 241B-parameter MoE with a tokenizer that reads molecular formulas and protein sequences natively.
Contrastive alignment framework that projects H&E histology and single-cell transcriptomic foundation model embeddings into one shared latent space.
Drug perturbation model predicting post-treatment gene expression from a cell's baseline profile and compound structure, zero-shot on unseen drugs.
Enzyme thermostability prediction from sequence, using segment-level attention over ESM-2 embeddings to rank mutation sites for protein engineering.
Drug-drug interaction event text generation from two molecular structures, conditioned on biological functions selected for each drug in the pair.
Long-sequence DNA foundation model with groove-aware convolutions and reverse-complement gating over 100kb contexts. Averages 0.708 MCC on GUE.