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Every biological foundation model, evaluated and ranked by the bio.rodeo team
GPCR peptide agonist screening with a graph neural network over AlphaFold-Multimer active-state complexes and interatomic contact graphs.
Chemical language model family for target-aware ligand generation, conditioning molecule design on protein embeddings from a companion protein model.
Autoregressive 3D structure model built on an octree tokenizer, spanning molecule generation, molecular docking, and protein pocket prediction.
Long-context genomic foundation model reading up to 192,000 base pairs at single-nucleotide resolution with dense LLaMA-style self-attention.
Protein conformational motion prediction from a single structure, using an SE(3)-equivariant GNN trained on ensembles mined from the PDB.
Protein dynamics model predicting per-residue probability of microsecond-millisecond conformational exchange from sequence or structure.
Small-molecule foundation model pairing a graph encoder with a Transformer SMILES decoder so compounds can be optimized directly in encoding space.
Bacterial genome encoder that renders draft assemblies as Chaos Game Representation images and embeds them for nearest-neighbour species search.
Enhancer prediction from DNA sequence alone, reaching 88.05% accuracy and 76.22% MCC on held-out ENCODE cCRE regions and annotating the whole genome.
Predicts EC, GO, InterPro, Gene3D, keyword and cofactor terms from sequence, emitting database identifiers rather than free-text function guesses.
3D segmentation foundation model for female genito-pelvic anatomy, reading T2-weighted MRI and radiotherapy planning CT with one shared encoder.
Medical vision-language model trained with reinforcement learning for generalizable reasoning across eight imaging modalities and five question types.
Cyclic peptide binder design by Monte Carlo tree search over sequence space, scored by predicted confidence of the peptide-target complex fold.
Whole-body CT segmentation covering 235 fine-grained anatomies: 193 organs, 33 lymph node stations, and 9 lesion types from one unified network.
Binding affinity scoring for protein-ligand and lipid-protein pairs without a docked pose, used to rank the protein corona on candidate liposomes.
Cryo-EM density-map-to-atomic-structure modeling that fuses protein language model embeddings with density voxels, then refines with AlphaFold3.
Single-cell model inferring which developmental signaling pathways are active from scRNA-seq, trained on combinatorial stem-cell perturbation screens.
Synthesis planning model that generates full synthetic routes from Enamine building blocks and reaction templates for any target small molecule.
Pathology image restoration recovering all-in-focus histology from single defocused focal planes, guided by semantic, defocus, and edge prompts.
Natural product chemistry prediction from biosynthetic gene clusters, assigning ChemOnt ontology classes from the cluster's Pfam domain composition.
Cryo-ET tilt-series classifier that flags and removes tilts corrupted by drift, contamination, ice reflections, lamella edges, or thick lamellae.